The tremendous amount of data originating from social media, beacons, IoT devices, smartphones, web clickstream, and hundreds of other sources are simply enormous and open up possibilities and opportunities.
EMPOWER YOUR BUSINESS WITH ANALYTICS
Traditional analytical methods are growing obsolete at an unprecedented pace in the rapidly evolving digital business landscape. Technologies like artificial intelligence, real-time data ingestion, cognitive computing, predictive analytics solutions, and natural language processing are already reinventing the way businesses utilize data to glean actionable insights.
ENTERPRISE BI, EDW and BIG DATA
Our services help enterprises to effectively aggregate, integrate, and validate data and uncover relevant insights in real time.
DATA SCIENCES & ADVANCED ANALYTICS
We help our clients transform data into intelligent insights with data science and advanced analytics techniques.
ENTERPRISE BI, EDW and BIG DATA
The right BI solution is the need of the hour. In this era of data overload, it is imperative that the information needs to be stored in the most efficient way possible. This requires businesses to utilize scalable Business Intelligence (BI) solutions which connect people with data, hence accelerating decision making and expediting the process.
- Data Warehouse – Assessment & Planning
- Master Data Management Services
- Data Integration using ETL tools
- Data aggregation strategy and planning
- Business Intelligence
- Advanced Data Visualization
- Dashboards and reports
- Analytics and data mining
- Batch processing and data preparation
- Ad-hoc reporting
DATA SCIENCES & ADVANCED ANALYTICS
AppsTek provides a competitive edge to enterprises by providing solutions across the analytics life cycle. Our Data Sciences & Advanced Analytics help users to analyse and take decisions about what has happened (descriptive); why has it happened (diagnostic); what will happen in future (classification & predictive); and what action to take (prescriptive).
Business users having limited or no expertise in statistical analysis or programming languages like R and Python; can easily select variables and run statistical models. Direct visualization of the results in desired formats makes it easy for business user to understand the analysis and take appropriate action. It also provides automation of analysis dashboard and real-time dashboard and analytics.
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