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BI & Analytics

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Data is a highly valuable yet often underutilized asset. In today's market, for any business to thrive, insights gained from data is the secret sauce of success. We help clients use the data at their competitive advantage.

 

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Data Warehouse:
Cloud Migration

  • Migration strategy and planning

  • Selecting the right cloud vendor

  • Cloud cost optimization

  • Developing data warehouse in the cloud

  • Data migration to cloud

  • Support & training

     

Discovery, Analysis & Design

  • Interview with stakeholders

  • Analyzing your data and infrastructure landscape

  • Platform and technology recommendation

  • Data integration strategy

  • Data modeling, source to target mapping document, data dictionary

  • Data warehouse design following best practice and to fit your business need

  • Data quality assessment and recommendation for improving quality
     

Development & Operational Support:

  • We provide end to end development solution following Agile/Scrum/Kanban/Waterfall or whatever methodology fits your business process

  • We provide a highly flexible and configuration driven ETL (Extract, Transform & Load) solution framework that reduces the development cost and time significantly. The solution provides:

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    • Reusable and configuration driven framework

    • Incremental or full processing

    • Orchestration capability

    • Detail auditing

    • Error/Exception handling

  • We development your cloud data warehouse and OLAP Cubes/Tabular models

  • We can train and transition the solution to your team or if you need ongoing operational support, we can provide the support resources to meet your operational SLA

Big Data:
Strategy to Implementation:

  • Big Data Strategy:

    • Strategy & Planing

    • Identifying & defining big data use cases

    • Data assessment

    • Developing Proof of Concept (POC)

    • Technology & Architectural Recommendation
       

  • Big Data Infrastructure Set up & Support

    • Installation & configuration for performance and cost savigns

    • Monitoring
       

  • Big Data Development, Maintenance & Support

    • Custom Application Development

    • Integration with existing Enterprise Data Warehouse and Data Sources

    • Migration Services
       

  • Big Data Analytics & Insights Services

    • Machine Learning/Data Mining

    • Descriptive, Diagnostic,Predictive and Prescriptive Analytics
Data Visualization:
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Retail Data Analytics:

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Why is it important to measure sales data? Doesn’t product manufacturer already know how much quantity they have sold for individual products? What benefits can BI analytics provide to product manufacturer? 

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Lots of things happen between when product is shipped and bought by customer in store. To understand what really happened over the course, price customer paid for a product, what conditions in-store, online, market and events influenced the sale, analytics on retail data is required. 

 

BI analytics can provide key performance indicators on retail data that can help product manufacturer in taking key decisions which in turn can help them to increase product sales. Some products have very small go to market time and to make most of this short window, product manufacturer need to know historical trends, right user base, right price, right region/store to target, right promotional offers, right time. BI analytics can help in providing data that can help answer these questions and provide necessary data points for executive to take valuable decision. 

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How does this work?

 

Setup data ingestion from retail store to BI Analytics:
    Data can come in form of electronic media or through offline source (electronic data ingestion is recommended). 
    Data ingestion can be real-time or on periodic basis (real-time is recommended).
    Data is recommended to be in standard predefined format

 

BI Analytics performs various transformations on data received from retailers:
    Data Cleaning 
    Data Aggregation
    Data Correlation
    Data Validation
    Data Auditing

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BI Analytics show transformed data through reporting user interface. It supports below capabilities
    Real-time reporting
    Show KPI’s in Visual and Tabular format
    Data Drill-down
    Data Filtering 
    Export to PDF

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Some of the standard reports provided by BI analytics:
    Sales by Sales Person
    Sales by Customers
    Sales by Product genre like Movies, Games, Music etc...
    Sales by Product
    Sales by Region
    Sales by Price Range
    Top Selling Products in last 7 days
    Top Selling Products week on week, month on month
    Weekly/Monthly sales comparison

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