Making the right business decision is never easy – but Marlabs Data Science can help you do it better, faster, and more insightfully than ever before. We focus on developing practical, powerful, easy-to-adapt advanced analytic techniques for your business, and applying them against today’s massive data flows. The result: never-before-available insights and intelligence for better business decisions.
Marlabs Data Science Offerings
Information Management & Big Data
Marlabs helps enterprises achieve a ‘Single Version of Truth’ to enhance business processes by incorporating information strategy, data architecture and governance. We provide consultation in: Data Assessment, Technology and Platform Evaluation, Roadmap Definition Performance Optimization, Data Governance and Big Data Consulting.
We also offer services in: Data Integration, Data Migration, Data Modeling, Data Quality, MDM, Data Warehousing, ETL Support & Maintenance and Big Data Deployment & Implementation.
Data Visualization & Reporting
We monitor, diagnose and improve business performance with the right data and KPIs and enable data-driven decision making. We provide consultation in: KPI Definition, Domain Consulting, Analysis and Bench marking, What-if Modelling, Root Cause Analysis and Technology Consulting.
We also offer services in: Data Modeling, Reporting, KPI definitions, Score Cards, Planning & Forecasting Self Service BI, Big Data Visualization, Real time Visualization and Infographics. Our Accelerators and IPs include narratives for Tableau, PowerBI, and QlikSense.
Data Science
We leverage mAdvisor – an automated machine reasoning platform for large scale data discovery and prediction. We predict business and market scenarios using algorithms and consulting methodologies to proactively address issues and opportunities.
Some of our services include: Customer Analytics, Strategic Analytics, Marketing Analytics, Sales Analytics, IoT Analytics, Operational Analytics, and Web and Social Media Analytics.
We also offer consultation in: Analytics Consulting, Analytics Strategy & Roadmap, CXO Insights, Insights as a Service, Domain Consulting, and Analytics Training with Accelerators like mACE – Analytics for Customer Experience.
AI & Cognitive Computing
We apply deep learning to extract insights from text, image and automate business processes to enhance productivity and achieve scale.
Our niche is in: Deep Learning, Machine Learning, Natural Language Processing, Natural Language Generation, Computer Vision and Speech Analytics.
We also offer services in the area of: Automated Machine Reasoning, Chatbots & Virtual Assistants, Social Sentiment Analytics, Pricing Intelligence, Inventory Tracking and Knowledge Management. We leverage mAdvisor – an automated machine reasoning platform for large scale data discovery and prediction.
Case Studies
Deploying Cognos to SharePoint facilitates data-driven decisions
Data Warehouse helps navigate critical business transformation
Advertising data warehouse enhances campaigns with improved market analysis
NLP based Investment Research Analytics Solution
Automated Social Media Analytics for a Global CPG Firm
Predicting order cancellations for a leading Online Furniture Retailer
Automated Pattern discovery for a Fortune 500 financial services company
Demand Forecasting for one of world’s largest Health Information Technologies and Clinical Research Firm.
Forecasting demand for buy-on-board food items for an airline caterer
Automated Churn Prediction for a Multinational Bank
Blog
Machine Learning Democratizing the Enterprise
AI, the endearing buzzword we’re all enduring, prevalent yet perturbing. Can we really go a day without hearing about Artificial Intelligence? Isn’t AI already democratized? So why are so many organizations still confused about what to do, which use cases to select, who are the right partners, where should they focus, when do they start and end, and how do you measure success…
Driving the Future of Business Intelligence: AI
Our ecosystem of technology undergoes change rather frequently, with rapid breakthroughs and ideas falling into place on an almost regular basis. Among a few of those buzzwords, artificial intelligence, or what’s more popularly known as AI, appears to have stepped out of science fiction more eagerly than the rest.
My thoughts on the AI Conundrum in Enterprise Security
For a long time, artificial intelligence existed merely within the realms of our imagination; in Terminator movies the most, perhaps. Over the past decade, we’ve seen it evolve from simplicity to complexity, and at a rapid pace. In 2018, researchers had managed to utilize AI systems developed by Google, Amazon, and Apple …
Data Analytics. AI. ML. What’s the Difference?
There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transformed, and early adopters with it, while others race to understand how best to adapt or integrate said emerging technologies into their organizations in an effective and seamless manner…
AI-Driven Transformation & the Impact on Marketing
Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, it was a function hard to measure in terms of impact on the bottom-line. But then boomed the digital age, and with it, an advent of channels that came to be known as social media. And in its wake, followed big data – a subject that requires little explanation…
Breaking Down Cognitive Computing | What’s it all about?
Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines the term as a system that adaptively utilizes underlying algorithms or processing with exposure to new data…
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