Presently, huge volumes of data are being generated from multiple sources and data points. Acquiring this data and processing it to gain relevant insights is a cumbersome task for modern enterprises. Big Data Analytics uncovers hidden patterns, correlations, and other relevant insights from this data pool. New-age technologies are enabling enterprises to analyze the collected data quickly and gain answers to complex business problems immediately. Predictive analytics refers to application of statistical algorithms and machine learning techniques to identify patterns of future outcomes by examining historical data.

Gain competitive edge with AppsTek Advanced Analytics & Big Data solutions

Market Trends & Forecast

Revenue from big data and business analytics worldwide from 2015 to 2020 (in billion U.S. dollars)

Industry Value

Companies Implementing Big Data Analytics & Advanced Analytics Will Achieve Improvements In Productivity & Profitability

Identify valuable opportunities to drive decisions & improved ROI

Turning insights into products & offers to delight customers

Delivering products & offers effectively to the marketplace

Our Approach

At AppsTek, we help clients with conducting an unbiased, unfiltered, comprehensive Analytics Assessment against four areas.

User Perspective

User autonomy (independence), availability of data and analytics, training and support.

Enterprise Perspective

Funding, project standardization, functional roles, ROI and overall approach to learning.

Technical Perspective

Decision support technology, analytics capabilities, architecture practice, and data acquisition and integration.

Data Perspective

Gauging data coverage, acquisition, integration, quality and management, logical and semantic data modeling.

Meet Our Customers

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