https://tibilsolutions.com/data-solutions/data-analytics/
Tibil is the best Data Analytics solution that covers the entire spectrum of business intelligence from ingestion to insights as described in our iDEA framework. In today’s digital age, where businesses of all sizes are embarking on digital initiatives or launching digital products, data and data analytics services have become a very critical component. Data analytics solutions drive business insights and help companies drive customer experience, new product launches, cost optimization, and personalized 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.
Data analytics is the science of analyzing the raw data in order to make conclusions about that particular information. The techniques and processes involved in data analytics have been automated into a mechanical process and algorithms that work over raw data for human consumption. Data analytics helps a business optimize its performance. Depending on the stage of the workflow and the requirement of data analysis, there are four main kinds of analytics – descriptive, diagnostic, predictive and prescriptive.
While working on data analytics solutions, some of the common challenges we encounter are:
- Analyzing 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
- 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
- The primary difference between analytics and analysis is that data analytics is a broader term of which data analysis is a subcomponent. Tibil’s data analysts collect, analyze, and translate the prepared data into information that’s accessible.
- 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
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