Data-Driven-Decisions
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Our Values
INTEGRITY
We are fair, honest, transparent, and operate at the highest standard of ethical conduct.
PURPOSE
We invest in people, encourage continuous learning, and build caring and collaborative relationships based on trust and mutual respect.
RESPONSIBILITY
We always look to integrate environmental and social principles in our businesses, ensuring that what comes from the people goes back to the people many-fold.
INNOVATION
We are agile and focus on continuous improvement, using deep customer insight to develop innovative solutions.
EXCELLENCE
We are passionate about achieving the highest standards of quality.
ABOUT US
Accuracy - Structured Thinking - Machine Learning - Continuous Innovation
DecSTAT specializes in advanced analytics solutions by defining KPIs, creating intuitive charts and dashboards to make data-driven decisions to reduce operational costs, increase sales and improve business processes. We apply structured thinking approach to find gaps and growth opportunities. Business Processes are improved by automating repetitive tasks.
Descriptive Analytics
The historical data is collected and metrics are calculated across different business units and time to analyze trends and patterns to have a birds-eye view of the operational performances and overall health of the business. Visualizations like bar charts, pie charts, and line charts are created to identify the strengths and weaknesses of an organization.
Diagnostic Analytics
We ask a series of Why? to understand the root cause of a surge or dip in the trends. Applied techniques such as drill down, drill through, and data mining.
Prescriptive Analytics
What should be done? What are the next steps? Business decisions are implemented at this stage.
Predictive Analytics
Application of machine learning algorithms to predict and optimize product prices and sales volumes based on parameters like locations, dates, weeks, holidays, product features, price, and many many other variables. This step involves continuous improvement of the machine learning models to improve the accuracy of prediction.