Winning With MBG’s Data Analytics Solutions For Your Business

Data analytics explores and analyzes past data to predict and make appropriate decisions for the future. It is at the forefront of the digital world today and one of the most important practices used for business decision making for key stakeholders as organizations and businesses turn increasingly more  data-driven.

In simple words, data analytics is the process of collecting organizational data and drawing meaningful conclusions. These conclusions are driven by very intelligent software algorithms, known as Data Analysis Expressions or DAX, that run deep within your data mining it for high quality insights that help better decision making, drive cost savings, and boost your bottom line.

MBG’s market leading Data Analytics practice methodology:

• Gathering organizational Data
• Data transformation (Data cleaning / Creating Conditional Data / Creating Data Hierarchy)
• Creating data models and relationships
• Creating DAX algorithms
• Creating narrative Business Intelligence dashboards

Building data insights for data analytics  - PACKAGE 1

• Data insights on sales, purchases, revenues, profits, and returns
• Data insights on individual, local and regional performance
• Data insights on product trends
• Data insights on high performing customer segments and assets
• Data insights on sales by territory, city, store, product, and brands

Building data insights for data analytics  - PACKAGE 2

• Data insights on sales, purchases, revenues, profits, and returns
• Data insights on individual, local and regional performance
• Data insights on product trends
• Data insights on high performing customer segments and assets
• Data insights on sales by territory, city, store, product, and brands
• Data insights on footfall performance
• Creating data models and visualizations for the number of customers visiting physical store locations or making enquiries via digital platforms and analyzing their sales outcome based on number of visits and enquiries compared with the actual turnover.

• Data Insights on KPIs
• Using KPI charts to create data visualizations of current and past sales, setting sales targets for product managers, and comparing these to actual sales performance, all using time series algorithms for monthly, quarterly or yearly periods. KPI charts make it possible to identify whether your products and services are on target, or under-or overperforming for a given time period.

• Data Insights on Advanced Forecasting
• Creating forecast visualizations of how core business outcomes , such as sales or profit, change in response to changes in sensitive parameters such as product price or operating costs. These advanced forecasting algorithms help plan better and make high-quality major decisions.