The most viable way to invest SAS In-memory analytics capabilities
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The case study discusses how a client in the electrical products manufacturing industry utilized SAS in-memory analytics for improved financial reporting, management, inventory dashboards, and plant analysis. The client's challenge was to structure their vast data for better operational insights, which required meticulous data scrutiny. The proposed solution includes tools for deeper business insights, enabling strategic decision-making while promoting self-service analytics capabilities for business users.
The most viable way to invest SAS In-memory analytics capabilities
- 1. CASE STUDY Copyright © 2016 by Binary Semantics
- 2. This Case Study illustrates the most viable way to invest SAS In-memory analytics capabilities on the client’s available data to create meaningful tools and analytic reports in line with the expected solutions. Technology SAS Visual Analytics Copyright © 2016 by Binary Semantics
- 3. Project Scope 1. Financial Reporting 2. Management Dashboard 3. Inventory Dashboard 4. Plant Analysis Copyright © 2016 by Binary Semantics
- 4. The Client Our client is a prominent player in the electrical products manufacturing industry. They are a leading name in the wires and cables industry. They manufacture unique products within their line of business and have a huge customer base spread across different parts of the country and the world. They have been awarded with the coveted Super-brand status recently, which speaks volumes about their goodwill in the market. Copyright © 2016 by Binary Semantics
- 5. The Challenges Our client is focused on daily operations and hence their intent was to have different tools and analysis on the table that allows them to drill into business operations and activities for better understanding of everyday business. Their aim was to have different business data in a structured format that was self-sufficient and self-explanatory. Thus, it was a challenge to conduct thorough and micro level analysis of different verticals of their business within the ethical and professional frameworks. We have to subject the available data through a complex series of scrutiny to determine the feasible methodology to attain the desired results. We had to sift through piles of data files to churn out meaningful data that would eventually help with the analysis and ultimately derive at the desired results. Copyright © 2016 by Binary Semantics
- 6. The Solution The solution comprises a gamut of tools and analysis including Financial Reporting, Management Dashboard, Inventory Dashboard and Plant Analysis. The intention of these results is to offer the client deeper insights into their business operations, which in turns facilitates monitoring and strategic decision making. THE Copyright © 2016 by Binary Semantics
- 7. Our Approach We believe in working with the client through various levels and stages. The first and foremost thing is to discuss & understand the requirement from the Business, subsequently mapping this requirement with the data. Hence, we deliver a blueprint of the results before the final stage. Our endeavors are directed at error-free results thus, we are methodical, systematic, organized and adhere to quality norms, business ethics and time deadlines to produce the desired results with the complete download of the solution to the IT & Business. We ensure our customer’s analytical and reporting requirements are met by utilizing Agile processes to deliver our solutions. With self-service BI, the decision makers are able to gather detailed information which can be analyzed and shared with others without having to know the technical protocols required to access the data. Business User can play with the data by simply dragging & dropping the data in that platform and can also perform “What-if Analysis”, Trend Analysis and Forecasting etc. Copyright © 2016 by Binary Semantics