Looking for a trustworthy big data consulting company to turn your data into a lucrative value driver? We explored authentic client feedback, relevant case studies, and the industry standing of numerous candidates to help businesses like yours discover the best data science consulting firms. Find the right partner for your business needs by exploring our directory and personalizing your search by location, pricing, minimum budget, team size, and other criteria.
We carefully curated this list of 10 leading big data companies after reviewing numerous agencies, considering their services, awards, portfolios, industry reputation, pricing, and client reviews. Read into our featured agencies' specialties and case studies to get you started on your search.
The Number 1 Big Data Consulting Company as Selected by DesignRush Is...
Notable clients: First International Bank of Israel (FIBI), AT&T, eBay, SAP, Intel
Specializing in big data consulting, BigData Boutique offers expert guidance, hands-on development, product support with service level agreements (SLA), data architecture design, and data modeling. The company operates with seasoned data analysts and engineers who are well-versed in Elasticsearch, OpenSearch, Apache Kafka, Flink, Spark, and Databricks. BigData Boutique takes pride in having partnered with leading global brands, including Notion, Yotpo, Wix, and Payoneer.
BigData Boutique Success Story
Challenge: Initially using Hortonworks, FIBI faced issues when Cloudera acquired the system and changed licensing and deployment methods. The company planned to shift to Kafka, but the transition proved challenging as FIBI’s existing Hadoop-based ETL (extract, transform, and load) processes couldn't be reused.
Solution: BigData Boutique engineered a data architecture on Kafka that matched the client’s original one for easy user adoption and system integration. The solution extracted data from the client’s mainframe, collected and processed it on Kafka, and interpreted it on MongoDB, which connects to many of the client’s core applications and website. The big data consulting company also added security measures to the data infrastructure, ensuring compliance with banking regulations.
Results: The solution also helped FIBI reduce latency and improve customer experience by streamlining data processes. The client was impressed by BigData Boutique's approach to resolving the complications that arose throughout the process.
Notable clients: Nestle, Deloitte, eBay, IBM, Nasa
Advancing client success for over 35 years, ScienceSoft offers end-to-end big data consulting and development services. Its consulting service covers advisement pertaining to big data audits and improvements, infrastructure consulting, enterprise data storage and analytics solutions, enterprise event-driven solutions, and consumer-centric big data platforms. Beyond consultative assistance, it offers big data solution implementation, support, and maintenance. With a team of 750 IT professionals, ScienceSoft is proficient in 100 technologies and has amassed a portfolio of over 4,000 clients.
ScienceSoft Success Story
Challenge: Facing the limitations of its legacy Informatica solution, a jewelry manufacturer and retailer sought to develop its own enterprise data warehouse that incorporated its business-critical systems. However, the in-house team lacked the technical skills and knowledge to execute this undertaking.
Solution: With the client’s development team already highly proficient in SQL, ScienceSoft provided Python, Bash, and Spark expertise to address the skill gaps. It also collaborated closely with the team to hold informal lessons, troubleshoot the solution, and give the needed support. Moreover, ScienceSpot implemented seven ETL pipelines to allow the client to gain insight into its various operations.
Results: Beyond accelerating the project development, the client’s development team advanced their ETL-building skills and became proficient in Python and Spark, allowing them to adapt and scale the solution as required. Furthermore, the client improved inventory management, marketing campaigns, and tendering, resulting in higher profits and cost savings.
From startups to enterprises, Unicsoft aims to help businesses gain a competitive advantage by consolidating disjointed data into an actionable structure. As a big data consultant, the company conducts data analysis, processing, pipeline design, integration, management, software and infrastructure consulting, data security, and data visualization. It also specializes in customer behavior analytics, risk management, predictive analytics, supply chain management, and blockchain analytics and automation, among other things. Since its inception, Unicsoft’s team has grown 20x and comprises over 150 experts.
Unicsoft Success Story
Challenge: Striving to elevate customer loyalty and return on investments (ROI), an established eCommerce platform commissioned Unicsoft to create a data analytics solution that could analyze customer responses and filter them according to positive, negative, or neutral feedback.
Solution: After cleaning and processing the data, Unicsoft used semantic analysis and a natural language toolkit (NLTK) to analyze the used language, including synonyms, abbreviations, colloquial and vernacular expressions, and tone. The selection was enriched with customer information from social media, product lines, and client information for a more comprehensive analysis. To further strengthen the impact, Unicsoft compared the results with the customer’s numerical scores to validate the solution’s findings.
Results: The data analytics solution allowed the client to craft data-driven marketing and sales strategies, boosting revenue by 10%.
Notable clients: Spellman, New York University, Atlas Oil, American Nurses Association, Wolters Kluwer
Motifworks accelerates digital transformation through expert big data consulting and implementation services. Its portfolio comprises data ingestion, pipeline, storage, AI solutions, advanced reporting, and data visualization. As a data science consulting firm, Motifworks specializes in Microsoft Azure, leveraging Data Explorer, Data Lake, Data Factory, HDInsight, and its customized AzureSmart platform to help businesses maximize the value of their data assets. Boasting a team of 5,000 seasoned professionals, Motifworks has delivered over 100 projects to businesses worldwide.
Motifworks Success Story
Challenge: Power supplies manufacturer Spellman used an ERP system to track inventory. However, the system’s current architecture could not provide in-depth insights into its inventory across its manufacturing, distribution, and serving locations worldwide.
Solution: Using Microsoft Azure’s comprehensive big data capabilities, Motifworks developed a data platform with a holistic overview of Spellman’s inventory. It implemented Azure’s Data Factory to collect and process the data while creating hierarchal structures and aggregates via Azure Analysis for a dynamic view. Lastly, Motifworks integrated Power BI so the client could seamlessly create self-service reports.
Results: Through the new solution, Spellman could make faster and more informed decisions, gain more insight into its business systems, and increase the productivity of its data engineers. By migrating to Microsoft Azure, Spellman was able to scale its platform without upfront investments, saving on costs.
Dedicated to building the next generation of technology, Intelliarts offers big data consulting, data mining, data collection, infrastructure, data storage, processing, machine learning, business intelligence, and predictive modeling services. Its capabilities extend to data strategy and roadmaps, architecture design, data lakes and warehouses, analytics, and system integration. Providing data solutions since 1999, Intellliarts has partnered with some of the biggest brands on the market, including Dell, Autodesk, and HubSpot.
Intelliarts Success Story
Challenge: Experiencing previous success with Intelliarts, software as a service (SaaS) company Optimizely collaborated with the big data consulting firm again to build its customer data platform (CDP).
Solution: Being familiar with the client’s product, Intelliarts crafted a robust and user-friendly CDP that integrated data from multiple sources, including Optimizely’s 60 platform integrations and the clients’ websites. The solution was built to provide real-time customer segmentation, make predictive recommendations, and generate reports, with functionalities for multi-channel marketing automation, data process automation, and a unified data view.
Results: With a powerful CDP that can manage terabytes of monthly data, Optimizely has helped its clients eliminate data silos, improve customer personalization, and increase marketing campaign effectiveness. This translated to higher conversions, sales, and revenue.
Notable clients: Energy Super Modelers and International Analysts (ESMIA), Siemens Healthineers, Scandanavian Airlines, AOL, AstraZeneca
Sigma Software aspires to guide businesses from ideas to profit through big data consulting. To enhance business processes, the company provides real-time and near real-time analytics, predictive analytic platforms, data warehouses and lakehouses, business intelligence, reporting and visualization, and big data engineer augmentation. These services are supplemented with data architecture and design, platform implementation, integration and governance, and analytics and maintenance. With offices in 19 countries, Sigma Software delivers over 40 value-added services and has been recognized among the top 100 outsourcing providers globally.
Sigma Software Success Story
Challenge: With Excel and its legacy system no longer capable of supporting its growing data needs, ESMIA Consultants approached Sigma Software to produce an automated data management solution.
Solution: Mapping out ESMIA’s current data flow, Sigma Software advised migrating to Datuum, PostgreSQL, Power BI, and Azure Cloud. These transitions resolved most data issues, automated data processing tasks, and unified data from various sources while allowing the client to scale the solution as needed. Moreover, Sigma Software customized Datuum’s ready-built platforms, migrated client’s systems to Azure, designed data architectures, performed integrational and load testing, and implemented an intuitive user interface.
Results: ESMIA has streamlined the data processing of millions of data sets, cutting down process time from hours to minutes. The new architecture allowed the company to deliver advanced reporting to its clients, have full system control, and efficiently manage complex datasets.
Notable clients: Deloitte, Accenture, BMW, QCentris, NFT Pro
Powering data-driven decision-making, Innowise specializes in big data consulting, with expertise spanning analytics, management, visualization, design, quality management, testing, migration, mining, integration, and automation. Catering to small and established businesses alike, the company assists them with data engineering, business intelligence, AI/ML, data science, data storage, and security. Completing over 1,100 projects across its 17 years of operation, Innowise has received industry recognition from the International Software Testing Qualifications Board (ISTQB), Forbes Technology Council, and the International Association of Outsourcing Professionals (IAOP), among others.
Innowise Success Story
Challenge: Having data dispersed across multiple legacy systems, a financial institution struggled to holistically process its data, preventing it from gaining timely insights and scaling its data analytics capabilities. With limited visibility over its data management, the company was at risk of violating banking regulations, prompting it to reach out to Innowise for assistance.
Solution: Innowise proposed a medallion lakehouse architecture featuring a single source of truth for banking data storage that consolidates data from multiple data streams. To achieve this, Innowise mapped the client’s data source, automated pipelines, and streamlined data layering. It also applied data imputation, flagging strategies, and indexing techniques, empowering the solution with interactive dashboards and a data governance framework.
Results: With the new architecture, the client reduced data processing time by 34% and enhanced compliance reporting by 26%. The optimized data management resulted in significant cost savings, elevated customer relationships, and increased revenue and conversions.
Notable clients: KPMG, Toyota Tsusho, Bosch Home Connect, Google X, Scholz Databank
Big data consulting company Yalantis helps businesses maximize the value of their data through infrastructure analysis, data integration, management strategy development, risk analysis, and project estimation. Committed to establishing profitable data governance, the company provides big data strategy development, platform evaluation, architecture design, infrastructure advisement, storage, analytics solutions, and AI integration. Beyond the professional services, Yalantis has introduced IT events, educational courses, and training programs across its offering, having mentored over 400 graduates to date.
Yalantis Success Story
Challenge: Seeking to improve its customer service and overcome data silos and incomplete data issues, a third-party logistics (3PL) company partnered with Yalantis. The client requested a data analytics solution to extract data from multiple sources, including customer logs, IoT devices, and supply chain systems.
Solution: Recognizing that the client needed several types of data reports, Yalantis devised a six-layered solution architecture for organizing the distorted data. The multifaceted solution featured layers for ingestion, storage, cataloging and search, processing, consumption, and security. Other core components included a data lake, real-time data extraction capabilities, data visualization and analysis, and predictive analytics.
Results: The 3PL company gained a flexible and scalable data analytics solution, which helped increase customer lifetime value (CLV) through valuable customer insight, maximize storage space through predictive stock planning, and optimize shipping routes by traffic and weather analysis.
Notable clients: Hello Fresh, DKV, PandaDoc, TomTom, Swissquote Group Holding
Seeking to drive smarter business choices through data, Intellias provides value-added solutions comprising audit, migration, reengineering, and user training. Its data and analytics portfolio extends to data strategy, management, engineering, monetization, DataOps, AI/ML, business intelligence (BI), and reporting. In recognition of its excellence, Intellias has won the DevOps Excellence Awards, Stevie Awards, and Globee Awards, having helped over 160 businesses worldwide make data-driven decisions.
Intellias Success Story
Challenge: Looking for a more efficient, cost-effective, and agile way to serve 23 million subscribers, a national telecom company was preparing for a Microsoft Azure migration, requesting Intellias' assistance to ensure a smooth transition.
Solution: Intellias proposed a conceptual architecture and a phased plan with performance benchmarking to help the client maximize the cloud platform. The company built a data processing and analytics platform capable of warehousing, analyzing, and managing petabytes of data from various sources. The platform was designed to have powerful business intelligence capabilities and provisions for machine learning and artificial intelligence functions.
Results: With Intellias’ help, the client validated the benefits of cloud migration, reducing CPU load for data processing by 85% and speeding up data processing time by threefold after transferring to Azure. It also gained an enterprise-level data analytics tool that processes petabyte-scale data, performs advanced analytics, and improves fact-based strategy-making.
Empowering global businesses for 21 years, N-iX specializes in big data strategy design, analytics, consulting, and assessment. With expertise in data governance, cloud migration, platform development, AI/ML implementation, and team augmentation, it has built solutions recognized by Forrester, CRN Solution Provider 500, and Global Outsourcing 100. The big data consulting company has over 160 active clients, half of which are enterprise-level organizations and Fortune 500 companies, and it is composed of 2,200 big data experts and software engineers.
N-iX Success Story
Challenge: Relying on a third-party tool to manage its 40 global data centers and produce Monthly Service Reports (MSRs), a cloud service provider experienced data silos, inaccessible information, work inefficiencies, and poor data governance and management. These hindrances led to high expenses and hindered its ability to scale.
Solution: Working closely with the client, N-iX studied its data retrieval, analytics, and reporting method to design a unified data warehouse and streamline its process. Across the process, N-iX migrated over 70 operational data sources, four data warehouses, and one data lake to Google Cloud. The company simplified data management by implementing the ELT method, featuring data extraction from Kafka, consolidation in BigQuery, and automatic conversion into MSRs.
Results: Following the optimization, the client has saved about 17,000 hours of yearly work, decommissioned more than 20 servers, and increased data process and management efficiency, ultimately, saving over $1 million in total costs.
How We Picked the Best Data Science Consulting Firms
We selected the best data science consulting firms by evaluating numerous agency profiles based on their skills, past achievements, reported strategies, client references, and previous collaborations. In doing so, we developed an effective assessment process to identify the leading companies with the expertise to provide comprehensive big data consulting solutions.
Our team of industry experts conducted the evaluation based on the following criteria:
Reviews: Client satisfaction, level of trustworthiness, project management, communication style, and work ethics
Portfolio: Successful projects showcasing the agency’s approach to delivering tangible results
Awards and recognitions: List of notable achievements and affirmations by reputable third-party agencies
Team bios: Overview of employee profiles and relevant big data consulting experience
Top services: Core competencies and areas of focus
Big data consulting expertise: Providing actionable advice and guidance that allow businesses to capitalize on their data and make data-driven decisions to achieve business objectives
Award-Winning AI Consultancy & Custom Software Development Company In UK & USA
Geeks Ltd is an award-winning AI consultancy and custom software development company. With 18+ years of experience and 1,500+ projects delivered, we help business leaders in Transport & Logistics, Construction, Manufacturing, Energy, Education, and Government harness AI to improve efficiency...
Top Services:
Software Development
AI Development
Mobile App Development
Software Testing
ERP Consulting
Show more
Location
Sutton, United Kingdom
Number of Employees
50 - 99
Average Hourly Rate
$90/hr
Minimal Budget
$10,000 - $25,000
Portfolios Count
12 Projects Listed
Geeks Services
Software Development
AI Development
Mobile App Development
Software Testing
ERP Consulting
CRM Consulting
Big Data Analytics
Cloud Consulting
Business Consulting
IoT
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
London School of Innovation (LSI)
Westminster City Council
Houses of Parliament
BBC
EasyJet
Search Acumen
va-Q-tec
ChannelPorts
Royal College of General Practitioners
Mitie
Data sourced from the agency's DesignRush profile
Geeks Reviews & Testimonials
alan smith Review from Google
5.0★
alan smith's Review Sourced from Google
Geeks have been working on our project for over a year and we are entering phase two.The experience has been quite intense and one a small business can struggle to keep on top of and invest as much effort as would be ideal.Geeks and their team have been incredible with the extra support our business has needed and because of this, we are entering phase two with positive excitement.Keep up the great work GeeksAlan
stuart beard Review from Google
5.0★
stuart beard's Review Sourced from Google
We recently worked with Geeks to do a scoping workshops/Solution Design for the development of a application for streamlining our reporting and surveying processes.The process from opening meeting to final wireframing was seamless. The knowledge and approach of the Business Analysts and the whole team were excellent, they listened, advised and offered thoughtful suggestions for improvements.The end specification for the application met and in many ways exceeded my expectations.Professional, friendly and smart. Great experience
Bradley Ebsworth-Willis Review from Google
5.0★
Bradley Ebsworth-Willis's Review Sourced from Google
We recently completed a solution design project with Geeks, and I can not speak highly enough about the service we received. Geeks really are experts are making the complex appear (relatively) simple. Through a thorough and detailed solution design process, we created a prototype product that met all of our requirements. Geeks focus on producing visual representations of the product you are seeking - which is a far more efficient and helpful way of solution designing (as opposed to a written specification). Thank you very much for your support once again and I look forward to working together again in the future! Bradley (Associate Director)
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
We're MindInventory known for offering cutting-edge AI and software development services that redefine how businesses innovate and succeed...
Top Services:
Mobile App Development
Software Development
AI Development
Cloud Consulting
Web Development
Show more
Location
Ahmedabad, India
Number of Employees
250 - 499
Average Hourly Rate
$30/hr
Minimal Budget
$10,000 - $25,000
Portfolios Count
14 Projects Listed
Mindinventory Services
Mobile App Development
Software Development
AI Development
Cloud Consulting
Web Development
Big Data Analytics
IT Services
DevOps Consulting
IT Compliance Solution
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Pigi
SimonSinek
Athlean-X
i.am+
Synthesia
KFC
Air Asia
Google
Panasonic
JustFab
Data sourced from the agency's DesignRush profile
Mindinventory Reviews & Testimonials
Keaton Martinez Founder at Helponymous
5.0★
Mobile App Development Review from Keaton Martinez
I have been working with MindInventory for over 7 years now. I absolutely love this company, the team, the code, designs, the way they communicate, just everything about them. I would recommend them to anyone. If you want high quality, great communication and an all star team, you found the one.
Dan Ferguson Chief Technology Officer at Imperial Wealth
4.7★
Web Development Review from Dan Ferguson
Its been amazing to work with MindInventory. Theyve allowed us to quickly scale our workforce, deliver more projects and reduce the stress of our on shore team. Working with their leadership has been smooth sailing from day 1. Theyve very responsive, seemingly always online and ready to help when and if there is an issue. I cant recommend them more highly.
Aakash shukla Review from Google
5.0★
Aakash shukla's Review Sourced from Google
My career's best company I have worked!It's been almost 4 years here, I have just grown and upgraded only in terms of skills, learnings and whatnot.The company culture is also amazing....Highly recommended if want genuine growth.
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
Navsoft has spent 26 years building custom software and AI solutions for complex, large-scale organizations. Today, we work with Fortune 500 companies across 33 countries, with a team of 400+ engineers and specialists...
Top Services:
ERP Consulting
IT Services
DevOps Consulting
Cloud Consulting
Big Data Analytics
Show more
Location
New York City, New York
Number of Employees
250 - 499
Average Hourly Rate
$49/hr
Minimal Budget
$10,000 - $25,000
Portfolios Count
4 Projects Listed
Navsoft Services
ERP Consulting
IT Services
DevOps Consulting
Cloud Consulting
Big Data Analytics
AI Development
Software Development
Mobile App Development
CRM Consulting
eCommerce Development
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Data-Sleek, located in Irvine, Orange County, CA, is an AI and data consulting agency that helps organizations turn raw data into measurable business value. We specialize in data architecture, strategy, integration, data warehousing and AI strategy and implementation...
Top Services:
Big Data Analytics
AI Development
Cloud Consulting
DevOps Consulting
Show more
Location
Irvine, California
Number of Employees
Under 49
Average Hourly Rate
$130/hr
Minimal Budget
$10,000 - $25,000
Portfolios Count
3 Projects Listed
Data Sleek Services
Big Data Analytics
AI Development
Cloud Consulting
DevOps Consulting
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Whether youre looking to outsource a critical project or scale your technology team, SOLTECH can help. With nearly 30 years of experience and a forward-looking approach that leverages AI tools, we help our clients build smarter solutions and accelerate results...
Top Services:
Web Design
UI/UX Design
Web Development
AI Development
Software Testing
Show more
Location
Atlanta, Georgia
Number of Employees
50 - 99
Average Hourly Rate
$150/hr
Minimal Budget
$10,000 - $25,000
SOLTECH Services
Web Design
UI/UX Design
Web Development
AI Development
Software Testing
Mobile App Development
Software Development
ERP Consulting
Big Data Analytics
Staff Augmentation
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
LG Electronics
SnapCare
Finishing Dynamics
South Central Power Company
Naylor Association Solutions,
HailSolve
3DRLabs
Google Cloud Consulting
PriceMD
Rinnai America Corporation
Data sourced from the agency's DesignRush profile
SOLTECH Reviews & Testimonials
Keith Bell Review from Google
5.0★
Keith Bell's Review Sourced from Google
Amazing company that supports their clients and customers! Not every staffing agency chooses to balance the two but Soltech really does. Definitely recommend them!
Jeff Jones Review from Google
5.0★
Jeff Jones's Review Sourced from Google
Performed a consulting engagement with SOLTECH that just finished successfully, and could not be more impressed with their people, processes, and results. I thoroughly enjoyed the engagement, and look forward to working with everyone at SOLTECH again!
Jody Curl Review from Google
5.0★
Jody Curl's Review Sourced from Google
The Crisis Center worked with SOLTECH on a project to enhance security and the protection of our data. The communication and professionalism of the team from start to finish was outstanding. The project went smoothly and even came under budget. Great company to work with.
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
Arkstem empowers businesses worldwide by connecting them with top-tier, nearshore Data & AI talent and cutting-edge solutions. As a premier Databricks partner in Mexico, we specialize in building robust Lakehouse architectures, advanced analytics, and AI/ML capabilities, transforming raw data into strategic...
Top Services:
Big Data Analytics
AI Development
Cloud Consulting
Location
Monterrey, Mexico
Number of Employees
100 - 249
Average Hourly Rate
$32/hr
Minimal Budget
$10,000 - $25,000
Portfolios Count
3 Projects Listed
Arkstem Services
Big Data Analytics
AI Development
Cloud Consulting
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Plytrix is a leading data analytics firm based in the USA, specializing in helping fast-growing businesses turn data into profit-driving insights. We equip companies with advanced analytics solutions to fuel growth, enhance decision-making, and maintain a lasting competitive advantage. With over six years of...
Top Services:
Big Data Analytics
Location
Austin, Texas
Number of Employees
Under 49
Average Hourly Rate
$200/hr
Minimal Budget
$10,000 - $25,000
Plytrix Analytics Services
Big Data Analytics
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Perceptive Analytics is an award-winning analytics firm delivering cutting-edge solutions in Advanced Analytics, Generative AI, and Business Intelligence. We help organizations unlock the full value of their data. Our core strength is empowering businesses through adept data utilization...
Top Services:
Market Research
eCommerce
Big Data Analytics
AI Development
Show more
Location
Hyderabad, India
Number of Employees
50 - 99
Minimal Budget
$10,000 - $25,000
Portfolios Count
1 Project Listed
Perceptive Analytics Services
Market Research
eCommerce
Big Data Analytics
AI Development
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Blue Apron
Medtronic
Tata
Papa Johns
Arkema
Lansinoh
Houlihan Lokey
Data sourced from the agency's DesignRush profile
Perceptive Analytics Reviews & Testimonials
Siddartha Rayapudi Review from Google
5.0★
Siddartha Rayapudi's Review Sourced from Google
I was there at Perceptive Analytics for a while. During that time I had the opportunity to work with the CEO very closely. The man built the company from ground up all by himself. He once taught me some grammar in english, that's how much interest he took in me while I worked there. I happened to work with some of the most smartest and talented people from amazing institutions there. My advice if someone wants to work there is to be super smart or super hardworking.... Or at the very least learn to work with such kind to be like that. Thanks Chaitanya for everything.
prashanth vempa Review from Google
5.0★
prashanth vempa's Review Sourced from Google
I have worked here and can vouch for the immense learning opportunities you get. You are trusted and given big responsibilities.When utilised properly, you stand to gain tremendously. Experience here instills values and a work ethic critical to making a mark in the service industry. Chaitanya's passion and attention to detail are qualities you can imbibe and nurture. All in all, the experience was fun and leaves you with memories you cherish for the rest of your life.
Srikar T Review from Google
5.0★
Srikar T's Review Sourced from Google
I have worked at Perceptive Analytics for approximately 10 months and my time at the company was awesome, to say the least.I have learnt a lot about sales and marketing which will be helpful for me going ahead. I have interacted with many clients and potential clients as well, and I got to learn a lot from these interactions.I also had a lot of freedom to experiment in my role, which was instrumental in enhancing my experience. The tasks I attended to were not limited to a specific domain but that only helped in increasing the potential of the job and though challenging, the role was equally rewarding for me.The work atmosphere is very good and the hours are very flexible.All the policies of the company are explained to the employees well in advance so as to avoid any confusion.The only problem that I've come across is that at times, you may have to work a little extra during peak season: like working for a while over the weekend or staying back for a while after working hours. On such occasions, work-life balance would take a hit. Work from home policy helps in these cases, though.I would definitely recommend working at Perceptive Analytics.
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
A big data consulting company is an agency that provides professional guidance and advice to businesses seeking to harness their data and drive tangible value and insights from it. By leveraging big data consultancy, organization leaders can discover new opportunities, deploy effective data processing strategies, optimize operational efficiency, and identify potential risks and vulnerabilities.
On account of their specialized expertise, businesses work with data analytics consulting companies to overcome the following challenges:
Collecting scattered data from various disjointed sources
Validating the accuracy, integrity, and quality of the data
Storing, managing, and analyzing large datasets
Keeping sensitive data secure
Complying with data privacy and security regulations
Leveraging the full capacity of data by extracting meaningful and actionable insights from it
Making an adequate selection of tools for your needs
Effectively and cost-efficiently scaling existing big data capabilities
Resolving technical issues that arise from big data systems
With the rise of mobile data traffic and cloud storage, data has become more available and easier to collect. These factors have propelled the expansion of the global big data consulting market, anticipated to reach $36 billion by 2030, while registering a compound annual growth rate (CAGR) of 13.9% from 2024 to 2030.
Success story
Because of big data's growing significance, businesses rely on big data consulting companies to capitalize on their massive data resources. One such example is when Koppers partnered with Motifworks.
Challenge: Global chemical and materials company Koppers embarked on an ambitious project to mine and analyze safety, driver, speed, and employee data from over fifteen spreadsheets. However, it realized the limitations of spreadsheets and approached Motifworks to consolidate its data on a centralized platform.
Solution: Upon analyzing Koppers’ data, Motifwords customized a fleet safety management dashboard that gathered data on driver safety, equipment utilization, service violations, and more. The setup was designed to enable easy database access, list sorting, data filtering, and metrics monitoring.
Results: The newly deployed dashboard has allowed Koppers to have greater transparency over their data and make more informed decisions on driver safety, logistics sustainability, and resource allocation. Notably, Koppers has reduced service violation hours by 56% and speeding events by 20%. It also improved back-office operation productivity, driver safety behavior, and real-time decision-making.
What do big data consulting companies do?
Big data consulting companies provide businesses with expert advice about the optimal implementations for collecting, storing, managing, and harnessing large datasets from various systems to achieve specific goals. Although a big data consulting company offers similar services as a typical big data company, the former focuses on offering strategic advice rather than setting up big data systems and technologies. As such, it acts like an objective observer that provides expert recommendations to key decision-makers.
Key services offered by big data consulting companies include:
Big data solution audit Assessing an organization’s big data collection, management, and analytics system and process to find areas of improvement and ensure maximum use of the data
Strategy development Analyzing the data and using insights to build a comprehensive strategy to help a business meet its objectives
Predictive modeling Leveraging artificial intelligence (AI) and machine learning (ML) algorithms to forecast trends, automate processes, and introduce advanced analytics capabilities
Data governance and security Developing policies and frameworks to ensure the integrity and privacy of data and safeguard against breaches
Data integration Combining data from various sources and systems to create a unified view using data warehousing, ETL (extract, transform, load) processes, and business intelligence (BI) integration
Big data solution customization and optimization Recommending approaches for tailoring and improving solutions and processes to a business’s unique needs, including big data mining, collection, storage, analytics, architecture design, and implementation
Success story
To illustrate how businesses implement these services in real-world scenarios, here’s a case study from Vanguard X:
Challenge: Ascential, a specialist information company for eCommerce brands, wanted to enhance the way it delivers reports to customers and hired Vanguard X to develop visual charts and new report formats.
Solution: Vanguard X integrated a bespoke data visualization tool into the client’s platform with greater computing capacity. The product was designed to automate charting and present a variety of data visualization options, allowing the company to customize data points by preference.
Results: With Vanguard X’s tools, Ascential’s analysts were enabled to create 1,000 charts instantaneously, saving 3-4 hours of work per report, thus increasing overall productivity and workflow efficiency and reducing manpower and system involvement. The tool also improved loading times for both front-end and back-end users.
How much do big data consulting companies charge for their services?
Depending on the seniority of the consultant and specific expertise, big data consulting companies charge an average of $120-$1,000 per hour for their services.
Here are some factors that additionally affect the price range of the service:
Scope of existing data analytics capabilities Businesses without big data solutions in place may require more work than those with existing architecture, which may result in higher service fees.
Project complexity Projects demanding multiple data integrations and advanced forecasting models require more resources and, subsequently, a bigger budget to obtain them.
Agency’s specialization Agencies with specific industry knowledge and skills, like data analytics companies specializing in data infrastructure for the health sector, may have higher rates due to their niche expertise.
Technology Licensing fees for tools like Apache Hadoop, Oracle, and SAP can affect a data analytics consulting firm’s rate. Highly customized solutions also entail higher prices.
Agency’s geographic location Agencies based in big metropolitan areas may charge more due to the higher cost of living and high demand for their service.
The top 50 big data consulting companies on DesignRush charge an average hourly rate of $33. 5% of the companies accept projects under $1,000, offering advisory for small-scope projects. On the other hand, 7.5% of big data consulting companies accept projects with a $50,000 minimum budget, catering to enterprises and established businesses dealing with greater data volumes.
Why should I hire a data science consulting firm?
You should hire a data science consulting firm because they can provide unbiased, in-depth insights into your business’s data so you can capitalize on it. They can also develop big data strategies tailored to your business goals, optimize your existing big data models, and ensure regulatory compliance. This can help you make data-driven decisions, minimize business risks, and gain a competitive advantage.
Here are additional advantages that can arise from collaborating with a data science consulting firm:
Attaining objective insights into the business operations that internal analysts might have missed
Obtaining customized guidance and strategies based on existing system setup and long-term objectives
Making informed decisions that improve operational efficiency and drive revenue
Using data assets to identify potential business threats and mitigate risks, especially upon venturing into new markets, launching new products, or making major business decisions
Staying ahead of the competition by forecasting industry trends and discovering new market opportunities
Optimizing big data analytics models and processes to deliver efficiency across systems and have a single source of truth
Updating legacy systems to ensure that the data collected is accurate, authentic, and valid
Ensuring that the big data system complies with regulatory guidelines
Success story
To better understand the impact of data consultancy, we’ve selected the following case study from Key 2 Consulting:
Challenge: A non-profit government agency relied on Excel sheets to create and disseminate reports. However, this workflow limited its ability to share information publicly and caused timeline and information accuracy issues.
Solution: Key 2 Consulting deployed several Microsoft solutions — Azure data lake storage, Data Factory, and Power BI to develop an enterprise information management (EIM) system that collected and analyzed data from two on-premise databases. The system leveraged extract-load-transform (ELT) pipelines and produced highly digestible reports. Moreover, Key 2 Consulting developed a data architecture that only allowed internal teams to access sensitive information and a separate dashboard for public consumption.
Results: The client gained more insight into its member demographics and their government programs, household and unit composition, and other significant metrics, which helped it serve over 20,000 families under its care.
How do I choose the best big data consulting company for my business?
Choosing the best big data consulting company for your business requires careful consideration and planning. Below are some specific steps that can help you find the right service provider for your needs:
Audit your data analytics capabilities Assess how your organization is currently collecting and analyzing data, look for gaps in your system, and see if you have the tools, technology, and talent to maintain the envisioned project’s scope.
Specify your objectives Identify how your organization will use the big data solution, as this will require determining the type of data you’ll need to analyze. Also, make sure that your objectives align with your business’s long-term goals.
Determine your budget Align with stakeholders and team leaders on the amount the organization can allocate toward big data consultancy.
Outline project detaill Coordinate with team members and stakeholders to define the project requirements, including goals, KPIs, expected deliverables, timelines, and technological requirements.
Look for potential partners Check reputable agency directories like DesignRush, listings, marketplaces, and publications. Also, ask colleagues and business partners for agency recommendations.
Review their qualifications Research client reviews, testimonials, case studies, portfolios, certifications, awards, and recognitions. Additionally, look for information explaining their processes and approaches to harnessing big data.
Evaluate their expertise and technologies Assess their expertise in AI and ML, big data models, IoT, cloud technology, and other skills pertinent to your business, and pinpoint agencies that have experience in your industry and tech stack.
Check their data security and compliance Investigate if the agency implements robust data encryption and cybersecurity measures to protect your information. Also, inquire about their compliance with GDPR, CCPA, HIPAA, and other relevant data privacy regulations.
Look for scalability Read case studies, blogs, and feature articles, and assess the longevity of the client partnerships. Look for agencies that provide ongoing support and updates to ensure scalability.
Send a request for proposal (RFP) Sent the selected candidates an RFP outlining the project scope, budget, business background, and current technological capabilities. Compare proposals from different vendors and choose the offer that reflects the best value for money.
Set an interview Schedule an interview with your shortlisted candidates and ask them questions to assess their big data expertise and commitment to your project. Seek agencies who can clearly explain technical concepts.
Observe their soft skills Across the interview, evaluate the big data consultants’ communication, collaboration, and problem-solving skills. Prioritize agencies that align with your culture and values and show genuine interest in your success.
Negotiate the contract Review and negotiate the terms of service, payment terms, and any clauses about the ownership of work. Ensure there are clauses that allow you to exit the partnership without severe penalties if it does not meet your expectations.
Searching for a trustworthy big data consulting company? Reach out to our Marketplace experts and send us your project details. Based on the request, we’ll connect you with five agencies that best meet your criteria for free.
How do I find the best big data consulting company on DesignRush that fits my budget?
Using our agency's filters, you can find the best big data consulting companies on DesignRush that fit your budget. Shortlist the selection by choosing from agencies that can cater to projects from $1,000 to $50,000 based on your budget.
To get you started, here are a few options at different price points:
Our agency directory also lets you browse agency profiles based on location, area of expertise, agency reviews, client types, team size, budget, and hourly rates so you can compare big data consulting companies and find the best fit for your project.
What questions should I ask data science consulting firms before hiring one?
Because big data plays a vital role in major business strategies and decisions, it’s vital to select an agency that aligns with your current needs and future business goals. Here are some questions to ask a data science consulting firm before hiring one:
Its Relevant Background
What type of big data models, algorithms, and technology do you specialize in?
How many years of industry experience do you have?
Do you have experience working in my specific industry or niche?
Can you share examples and case studies of projects similar to ours?
Its Services and Processes
What big data analytics software and technology do you use?
What is your process for validating the accuracy, integrity, and quality of your findings?
How do you mine, store, analyze, and manage data?
Can you walk us through your big data model development and deployment process?
How do you handle situations with missing or corrupted data?
Related to Your Project
How do you ensure that our data is safe and complies with industry regulations throughout the process?
How often will we receive updates on our project’s status?
How do you measure and monitor the performance of your big data model?
Who has access to our data that will be utilized for the project?
How will you integrate the big data model into our various systems and solutions?
How do you ensure that our solutions are scalable and future-proof?
How do you ensure that your insights translate into actionable business strategies and can be understood by individuals without a technical background?
Can our internal teams easily navigate and adopt your big data solution?
Can we customize your solution to meet our different business needs? For instance, could you create a marketing report on our customer demographics per region?
Do you provide ongoing training and support?
What are the best big data consulting companies in the US?
The best big data consulting companies in the US are the following:
Proposals