For some of us, information flow and data doesn’t seem cluttered, at least day-to-day. Over time though, data accumulates to the point where it can be near impossible to keep it all straight. Lost or otherwise unorganized data can be a nightmare at best, and downright disastrous at worst.
Siemens Financial was experiencing this disarray first-hand…
The company’s Risk Management Division is responsible for allocating insurance costs to over 54 reporting companies and over 200 separate divisions.
Accomplishing this task required the company to distribute, receive and analyze a 50+ page questionnaire. Before a solution using Microsoft SQL was implemented though, they would go the old fashioned way. The problem of course was that it quickly ballooned to over 10,000 individual pages.
To compound the problem, most submissions from customers required several exchanges.
As you can imagine, this led to much confusion among both Siemens personnel and their clients. Questionnaires would be lost, and much time, effort and money was required.
Siemens teams up with Innovative Architects and Marsh to develop a cost-effective, centralized database using Microsoft SQL server
With the seemingly daunting task of collecting and analyzing questionnaires, Siemens turned to the business intelligence pros at IA and Marsh to develop a solution. After analyzing Siemens’ problem, we were able to develop a streamlined, cost-effective approach for collecting and analyzing risk management data.
A customized solution using Microsoft SQL provided a centralized database where data could be accessed by a secure, web-based utility that’s available anytime, anywhere. A MSFT .NET framework was developed to send questionnaires to clients in a secure, easy-to-manage, cost effective way.
Besides being able to access data anytime, anywhere through a web-based platform, the SQL business intelligence solution also allowed Siemens to collect data in a standardized format. And once the system was up and running, the firm also started benefitting from lower costs.
Other benefits Siemens began seeing include:
- Increased data integrity
- Increased capacity at a much lower cost
- Improved presentation of information
- Allowed for enterprise-level case management capabilities
Microsoft SQL server can be defined as a “…relational database management system” (Wikipedia). In the most fundamental sense, its primary function is to store and retrieve data. Other software applications on the same computer or in a network will request the data.
If you have a massive information flow that seems too much to handle, a Microsoft SQL business intelligence solution may be needed. While there are some up-front costs, having your information in a centralized database accessible through a web-based platform will not only save your company money, it will save precious time as well and make things run much, much smoother.
Check out our case study for Siemens, or feel free to contact us to discuss your information needs today.