Data Analytics

Superior data integration & analytics

What is Data Analytics?

In today’s digital age, where businesses of all sizes are embarking on digital initiatives or launching digital products, data and data analytics has become a very critical component. Data analytics drives business insights and helps companies drive customer experience, new product launches, cost optimization and personalize offerings for different customer segments. The engine powering IoT, AI and other emerging technologies is data analytics, as data is at the heart of all the digital transformation initiatives.

Common Data Analytics Challenges

While working on data analytics, some of the common challenges we encounter are:

  • Analysing huge volumes of data from disparate sources
  • Availability of data for analytics in recognizable patterns for tools or statistical models
  • Overlaying business context and process to the patterns to ensure relevant analysis to deliver business insights
  • Visualizing the outcome of data analytics in appealing and relevant dashboards for quick decision making
  • Improving the time-to-value of the data analytics process

Tibil’s Data Analytics Solution

Tibil’s Data Analytics solution and iDEA framework are designed to address the above business challenges. We have enabled organizations of all sizes across industries to make informed decisions by deploying customized business solutions to access real-time data.

Data Analytics in Tibil covers the entire spectrum of data from ingestion to insights as described in our iDEA framework:

  • Validating existing datasets & sources and verifying data quality
  • Integrating and organizing data from disparate sources
  • Transforming the prepared data into recognizable patterns by overlaying business imperatives
  • Analyzing the derived variables and creating dashboards & reports to showcase metrics
  • Building models and algorithms that can support key business decisions

Some examples of the business value we have added to our customers through data analytics are:

  • Improving Real Estate buying probability with a right-fit match
  • Management of loyalty cards data and personalized recommendations
  • Launching new products and solutions or refreshing existing ones through data insights
  • Dissecting IoT data for performance management and availability tracking
  • Analysing machine data for just-in-time inventory management, maintenance and upkeep
  • Performance assessment and improvement of a societal platform

Read more about Tibil’s Data Analytics Solution by downloading the datasheet.

Implementation of Data Analytics in Business

For a Multi-functional Medical Diagnostic Solutions Provider in India, Tibil created Omni Health Monitoring System (OHMS), a state-of-the-art product that combines IoT, mobile delivery, data analytics, CRM, and social media to enable real-time, complete, customized, 24/7 patient engagement anywhere in the world. Some of the business Insights and benefits of OHMS were:

  • Accuracy and reliability of data, and real-time presentation of patient’s vital statistics
  • Pre-programmed alerts to healthcare professionals
  • Integration with MIS to support the faster realization of insurance payments
  • Clinical analytics to monitor quality metrics, enable pre-emptive actions and lower costs

Benefits of Our Data Analytics Solution

We believe that by leveraging our Data Analytics solution, our customers can benefit with:

  • Business value: Driving business insights by overlaying business context and Tibil’s domain expertise to the analytics process to ensure the true value of analytics is derived
  • Improved return on investments: Ensuring the right tools and technologies as well as best practice frameworks are used to keep costs down for better RoI
  • Accelerated time-to-market: Leveraging Tibil’s decade-plus experience, expertise and technology know-how to deliver insights, innovation or products faster to market

Read our point of view on Who says SMBs don’t need or cannot afford Data Analytics?

Besides Feature Engineering, we have expertise in Data Operations solution to audit data for veracity, completeness and reliability, Data Engineering solution to help you prepare and normalize data and build data lakes, Feature Engineering solutions to help transform the prepared data into derived variables and formats for data analytics algorithms and models, Data Science solution to build advanced analytical solutions based on ML algorithms and AI models, and Data Maturity Assessment to help you baseline your current data posture.