Indostar Capital Finance
Contact: Nitesh Kotian
Country: India
Award Category: Innovative Problem Solver
Tell us about the business problem you were trying to solve.
Analyzing company profit and loss for their respective geography like Zone/region/area/branch.
Challenges in Financial Data Analysis
1. Manual Data Mapping: Using Excel to map income and expenses at an organizational level was cumbersome, time-consuming, and prone to errors.
2. Limited Accessibility and Understanding: Not everyone had access to the data, and even fewer had the expertise to interpret it, leading to knowledge silos.
3. Bridging the Business-Finance Gap: Communicating financial insights to non-financial stakeholders was a significant challenge, hindering strategic decision-making.
4. Drilling Down to Base-Level Data: Tracking costs and income required digging deep into the data, which was difficult and tedious using traditional methods.
What SAS products did you use and how did you use them?
SAS Products: SAS Visualization Analytics and SAS studio (SAS Yiya)
Key Actions to Enhance Insights and Decision-Making
1. Data Ingestion and Processing: Leverage SAS Viya's robust data management tools to ingest and process data.
2. Advanced Calculations: Calculate profitability metrics, such as profit margins and cost structures, using advanced calculations.
3. Data Visualization: Create informative visualizations to highlight trends, outliers, and opportunities, facilitating easy communication of results.
These key actions enable organizations to unlock valuable insights, drive informed decision-making, and optimize their operations for improved profitability.
What were the results or outcomes?
Profitability Dashboard: Empowering Senior Management
The Profitability Dashboard was successfully created and deployed, enabling senior management to:
- Easily interpret various types of expenses and incomes
- Analyze data across different geographies
- Make informed, data-driven decisions
This intuitive dashboard transformed complex financial data into actionable insights, driving business growth and optimization.
Why is this approach innovative?
Innovative Aspects:
1. Advanced Analytics: Leveraging SAS Viya's advanced analytics capabilities to calculate drawdown, max drawdown, and recovery periods provides a more nuanced understanding of portfolio performance.
2. Automated Calculations: Automating these complex calculations saves time, reduces manual errors, and enables faster decision-making.
3. Data-Driven Insights: By applying advanced analytics to portfolio data, investors gain actionable insights to inform investment strategies and optimize portfolio performance.
4. Risk Management: Accurately calculating drawdown and max drawdown enables management to better manage risk, set realistic expectations, and develop strategies to mitigate potential losses.
5. Scalability: This approach can be applied to various asset classes, portfolios, and investment strategies, making it a versatile solution
