BUSINESS ANALYTICS

A methodical approach for KPI reporting, visualization, and insights discovery.

Not every business problem needs a data science or a machine learning model to deliver value, at least to start off. The first tranche of value is realized through a methodical investigation of data along dimensions of relevance to the decision context in hand.

  • Stakeholder expectations and Dashboard objectives

  • Business context and constraints

  • Tools and technology choices

  • Internal and external data sources

  • Envisaging outputs/dashboard

Business REQUIREMENTs

  • Exploratory data analysis

  • KPIs used in industry, best practices

  • Analyses and KPIs to address business problems

  • Stakeholder sign-off on KPIs

  • Refresh frequency decisions

ANALYTICAL DESIGN

  • Map data sources to target database

  • Data cleansing and consistency checks

  • Data transformations and KPI construction

  • Load data into the target database

DATA PROCESSING

  • Mock-ups and wireframes

  • Revise with stakeholders

  • Build dashboard prototype

  • Conduct User Acceptance Testing

  • Release dashboard and schedule for updates

DASHBOARD

OUR  APPROACH

CONTACT US FOR MORE DETAILS

A for Analytic

Chennai, Tamil Nadu, India

  • Facebook Social Icon
  • Twitter Social Icon
  • LinkedIn Social Icon
  • Instagram Social Icon

©2018 by A for Analytic