Driving Better Business Outcomes through Technology and Advanced Analytics.

We enable our clients to build and sustain Competitive Advantage through Big Data, Data Science & Data Analytics by Connecting Data to Business Outcome entailing the fusion of Data, Statistical Modelling, Artificial Intelligence, Cognitive Computing, and Machine Learning & Expert Advisory.

Data Science, AI and Big Data Analytics

Use AI and Data Science to drive topline growth, reduce costs and increase process efficiencies.

Expert Advisory & Consulting Services

Work with our consultants who have domain expertise across a wide variety of domains including Retail, Telecommunication, Leisure, Financial Services and Others.

Enterprise Applications and Business Intelligence

Use Business Intelligence to gather insights about your organization’s performance and Enterprise Applications to deliver Line of Business needs.

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We drive outcomes that enables your organization to grow.

We understand your business drivers and organizational value chain to deliver a holistic value proposition!

Cogniata understands you organization’s pain points from a functional viewpoint and leverages theirs consultants’ significant domain expertise along with bleeding edge technology to deliver faster and better business outcomes.

Our Services

Our experienced technical team work across a wide technical stack to deliver your business outcomes faster and without compromising on best practices.

Predictive Analytics, AI & Machine Learning

Business Intelligence and Data Warehousing

Blockchain Integration

 

API Integration & Data Scraping

Cloud Solutions ( AWS and Azure)

Enterprise Application Development

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Enabling business outcomes with the use of analytics and technology is a discipline which requires amalgamating technical, functional and creative knowledge to synthesis the perfect blend of insights, advice and services for your business to thrive.

How Can We Help ?

Drive your decision making with insights across your organization’s value chain

Descriptive Analytics

Descriptive analytics is the art of ingesting raw data from multiple data sources to give valuable insights into the past. However, these findings simply indicate that something is wrong or right, without explaining why and is usually the first phase in Business Intelligence. 

Diagnostic Analytics

Under this, historical data is measured against other data to answer the question of why something happened. Thanks to diagnostic analytics, it is possible to drill down, to find out dependencies and to identify patterns. Diagnostic Analytics gives a deep insight into a particular business problem and is can be considered as a second phase in Business Intelligence. 

Predictive Analytics

Predictive analytics informs an organization about what is likely to happen. It uses the findings of descriptive and diagnostic analytics to detect correlations, clusters and exceptions, and to forecast future trends, which makes it a valuable tool for prediction.

Prescriptive Analytics

The purpose of prescriptive analytics is to literally prescribe what action to take to eliminate a future problem or take full advantage of a promising trend. Typically before deciding to adopt prescriptive analytics, a company should compare required efforts vs. an expected added value as this requires advanced analytics in the form of machine learning and tools/platforms.

Our Clients

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