Business Analytics

As a methodical strategy for visualization, insights discovery, and KPI reporting, the practice of Business Analytics proves to be an essential tool for businesses.

Our analysts ensure that the past performances of your business are analyzed properly to ensure appropriate planning. This is important as methodical investigations of data form the first step of realizing business value. The more advanced data science or machine learning comes next.

Why do you need Business Analytics?

KPI Reporting & Visualization

Our professionals help you execute KPI reporting, either before or post data science practice (whatever needed), on the basis of pre-defined indicators of performance

Insights Discovery

We employ an iterative approach of identifying data relevancy for exploring trends and patterns of behaviors and interests with tabular and visual analysis.

Our Approach

Right from business requirements to the final product of dashboards, the Eminent professionals are always geared up for preparing your analytics for business growth.

Analytics Design

  • – Analyzing exploratory data
  • – Determining appropriate KPIs
  • – Getting Stakeholder approval on KPIs
  • – Refreshing frequency decisions

Business Requirements

  • – Understanding client expectations
  • – Analyzing business constraints & scope
  • – Choosing tools and technology
  • – Visualizing dashboard as per collected sources

Data Processing

  • – Mapping data sources to planned database
  • – Checking consistency and cleansing data
  • – Transforming data and building KPI
  • – Uploading data on planned database

Dashboards

  • – Creating wireframes and mock-ups
  • – Building dashboard prototype
  • – Testing for user acceptance
  • – Releasing dashboard and preparing updates

Case Study

Data Science

Blend of machine learning and algorithms to discern patterns and information from data

Business Analytics

Methodical exploration of past performances of a business to ensure proper planning

Data Engineering

Practical application of collected and analyzed data by using skills in big data