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We provide generic or customized services involving data analytics & management, predictive and prescriptive analytics. We help customers to develop strategy to translate data into actionable insights to make decisions more efficiently with highly visual representations.
What We Offer?

Enterprise Data Discovery and Management
Enterprise Data Discovery and Management
We help customers to identify all the relevant data from various sources and create, manage, and build automated data flow processes to store data for further processing.
Integrations and Visualizations
Integrations and Visualizations
With the help of data integration and reporting tools we build solution to provide holistic view of data and easy to interpret rich visual dashboards and reports to customers.
Analytics
Analytics
We provide service to get actionable insights to help understand growth opportunities and trends using predictive and prescriptive analytics.
Our Experiences

We have the requisite expertise to support client data needs, deliver data enablement solutions, and provide insights via our advanced analytics capabilities.

Enterprise Data Management

Storage of unstructured data to data warehouse
Automated process with SSIS packages
Repetitive data updates on regular intervals

Data Integration and Visualizations

Sales and Budget Forecasts with Power BI
Material Procurement planning with Angular
Drug Usage analysis and recommendation with Power BI and Qlik

Analytics

Predictive model with Linear Regression
Classification and Clustering
Time Series forecasting Techniques
Explore our recent work

We have served organizations in healthcare and manufacturing industry to help customers with analytics in planning, sales, budget and product performances.

Warehouse system for a US Pharma company to generate Business Intelligence reports

A prescriber call data warehouse system for a US Pharma company to generate Business Intelligence reports. This is to gain insight on the company products volume in the pharma industry by distinct call data constraints. Objectives Automated, Interactive and dynamic reports for complete view of products volume at region level and territory level of call data with drill downs. Compute statistical performance like Net-sales, contribution margin, variable margin, gross margin with extension data of physician call. Auto load the physician call data into data warehouse for real-time data analysis Challenges Lack of integration between data sets to group varied data set values for the fine tune of reports. Mismatch of data attributes for comparison from multiple sources, to combine/aggregate columns of summarized report. Solution Auto load the excel data using SSIS package control flow and data flow Transform and aggregate varied data sources into one data set by considering the common attributes. Create interactive reports, which gives complete view of call data details using Power BI visuals with drill down options. Create measures using DAX to achieve statistical calculations in building the required reports. Benefits Anytime access of analytics report across devices for latest data charts. Removal of manual data load and report generation process to minimize costs. Technology Stack Server: MS SQL Server 2017. Languages: SQL and Data analysis expressions(DAX) Tools: SSIS for ETL process and Power BI

Sales & Budget Analytics For a US Pharmaceutical Company

A niche pharmacy company in USA wanted to build a data warehouse system, generate reports using Business Intelligence to gain insight on the company’s market share, product volumes and sales. Objectives Automate the data load from excel files in-to data warehouse Maintain the history tables for updated and deleted values Create interactive reports for sales and budget with drill-down and filters Solution Load the excel data using SSIS package Control flow and data flow Automate the SSIS packages by scheduled Jobs in SQL Agent Maintain history data using SQL query Interactive dashboard, which gives complete view of sales and budget details using Power BI Implemented the filters such as year-wise, brand--wise, quarter-wise, sales vs budget Created measures using DAX to achieve complex calculations for the required reports Technology Stack Server: MS SQL Server 2017 Languages: SQL and Data analysis expressions(DAX) Tools: SSIS for ETL process and Power BI

Planning & Analytics Solution – Manufacturing, Germany

Propellente has developed an Delivery and purchase planning application for metal market. An online Procument and Material Delivery planning application to automate manual process. Objectives Capture and embed business rules to provide intelligent forecasts Track the material ordered vs consumed Display daily and monthly basis material usage Interactive UI for collaborative decision making Solution Developed an interactive dashboard, which gives complete view of all materials, like usage, opportunity, savings and open contracts Bar chart on dashboard to track the material ordered vs consumed Used charts, tabular columns with up and down arrow with percentage to indicate material usage to average usage for particular month Technology Stack Laravel 5x, Node 10x, Angular 6x, Docker Ubuntu TypeScript, HTML, LESS and JSON

Data Analytics for a US pharmaceutical company

A niche pharmacy company in USA wanted to load terabytes of data files in to the MS SQL server for the analytics of data using Business Intelligence to plan and manage the production and sales Objectives Load the terabytes of data in minimum time span Analysis reports of Drugs their Refills and diagnosis codes used by patients across the year Plan and manage the production and sales Analyse the maximum and minimum selling of drugs over the years Drug categories OPIOIDS and NSAIDS used by number of patients Solution Loaded the terabytes of Data from flat files in to the SQL server using SSIS packages and Bulk Insert Optimize time to load data in to SQL server with server configuration Generated bar chart, scatter chart, pie chart reports using power BI tool for the analytics Technology Stack Server: MS SQL Server 2017 Language: SQL Tools: SSMS, Power BI, Data Management tool

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