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Client: International industry leader in insurance broking and risk management to Fortune 500 companies.


Challenge:
Augment company’s London Business Intelligence (BI) system to provide decision makers with the information they really need when they need it. The London insurance market carries unique BI challenges due to its distinct history and culture. Therefore packaged BI techniques do not get at the information specific to meeting those challenges.  The BI team needed to avoid creating yet another unused database. They needed a comprehensive set of requirements and design techniques in order to augment the existing decision support system.
Solution: Apply a combination of techniques to understand the decision maker’s Business Intelligence requirements and provide guidelines for modifying the design of the underlying data warehouse. Targeted interviews were used obtain decision maker’s priorities, decisions, information needs and quality of service characteristics. Top-down modeling represented the language of the user for later user interface specifications. Reverse engineered source databases captured available data, data cleansing requirements, and data consistency rules. Complex relationship modeling provided guidance for data warehouse schema design and roll-up summarization.
Benefits: Instead of spending a year modifying databases and decision tools only to find that the system as built was not used by decision makers – the team developed the right BI system that meet their needs in a few months. They improved management’s ability to make fast and accurate decisions. Data contained in multiple transaction processing systems was made readily accessible. Time spent correcting and collating reports was significantly reduced. Service Agreement Revenue was improved and maximized. Decision makers became more independent reducing reliance on Information Technology personnel.

Client: One of the leading Pharmaceutical Enterprises researching medicines and developing products world wide.


Challenge:
A research unit involved with environmental issues were told they were no longer adequately serving the needs of other business units. The Enterprise’s obligations from an environmental point of view had changed. This research unit was being compelled to reorganize and change their business process, but how? They had to discover what needed changing and the best way to reorganize once those changes were understood.
Solution: Work with the research unit’s management utilizing Business Process Reengineering and Use Case techniques. Department personnel were interviewed to understand the current business practices. Then a complete understanding of customer requirements were developed. A gap assessment was performed to understand the differences between existing processes and and unmet needs. By taking a Systems perspective, new business processes were design, and implemented resulting in an internal reorganization.
Benefits: Six months after completing the reorganization the research unit was meeting the needs of other business units. Management successfully transitioned the Department from being under performing into an organization that efficiently met their customers true needs.

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