Business Analytics

Business analytics and business intelligence solutions can help improve the decision-making capabilities of organizations, cut costs and identify new business opportunities. Every organization has access to raw data-internal and external. Business Intelligence is the art of data mining, analytical processing, querying and reporting to draw business-critical insights. It enables business re-engineering by identifying inefficiencies and eliminating or strengthening them.
While the available BI tools enable businesses to analyze data themselves, drawing inferences needs focus, expertise, and experience to extract relevant insights for making the right business decisions.

While the available BI tools enable businesses to analyze data themselves, drawing inferences needs focus, expertise, and experience to extract relevant insights for making the right business decisions.

Whirldata Science uses its vast cross-domain experience to help businesses across industry categories manage performance with tools like Apache SPARK, R for:

  • Gathering
  • Cleansing
  • Integrating
  • Analysing
  • Sharing data

Every organization, not just in retail and e-commerce industries but even in financial, healthcare, agriculture, manufacturing today has an online presence, many a times more than a mere website. They enable e-commerce, provide blogs, facilitate interactions-this, in addition to having a brick and mortar business. Every organization thus has data generated at multiple points, in multiple formats and is stored in multiple locations. The organization thus has a fragmented view of its customers and their expectations, unable to leverage the data for making relevant, strategic decisions.

Whirldata uses data integration platforms such as MuleSoft and Knime to access and integrate data from across formats such as MySQL (Magento), Excel, Oracle (ATG), REST APIs and Apache HIVE. By integrating data from disparate sources and formats on the platform such as MuleSoft and Knime, Whirldata provides customers a unified view, thus making it easier to draw inferences.With the use of statistical tools such as R, Python and Excel-Formula for prediction and aggregation, Whirldata helps customers analyze, interpret data and project trends.
Further, Whirldata uses visualization tools such as NVD3.js, Shiny from R, Tableau, Qlik, Microsoft Power BI, D3.js, Rickshaw.js and Crossfilter.js to present graphically and capture trends that can help organizations with a range functions including:

  • EIS-  Executive Information Systems
  • DSS- Decision Support Systems
  • MIS- Management Information Systems
  • GISGeographic Information Systems
  • OLAP- Online Analytical Processing and multidimensional analysis
  • CRMCustomer Relationship Management

Whirldata’s framework-based Business Intelligence Architecture enables businesses to organize and manage data for reporting and data analytics.

data science data science data science

screen2

APT Engine “ A FREE! and fully Automated Product Recommendation Engine for your Magento E-commerce site ” more…