Management Information Systems

TABLE OF CONTENT

1. INTRODUCTION 3
2. BODY

A. Data management and Analysis tools 4

B. Business Intelligence and Key performance indicators 7

C. Dashboards in the information age 9
D. Dashboards for disaster preparation 10
E. Dashboard Failures 11 3. CONCLUSION 12

4. REFERENCES 14

1. INTRODUCTION
We are awash in data and as a result almost every organization is scrambling for metrics, key performance indicators (KPIs), scorecards, and increasing useable information to coordination complex digital enterprises, making the creation of intelligent dashboards all that much more critical. We rely primarily on quantitative data to measure the health of our organizations, identify opportunities, and to plan and anticipate the future. Despite having made great progress in the ability to gather and warehouse data, continuously analyzing, interpreting, and reviewing reports is both labor intensive and often does not communicate the numbers and information effectively. Contrary to popular myth, information cannot always speak for itself. Most organizations today spend millions of dollars to build the most robust and pristine data warehouses in the world, running on the most powerful hardware and accessed by state-of-the-art Business Intelligence software for operations. The real leap forward is allowing business systems to inform business people to make use and practical sense of ‘information’ and present it clearly to facilitate decision-making. Steady progress is being made in the ability to construct intuitive value added dashboards to the enterprises systems to serve internal and external customers to meet goals and objectives.
Dashboards are virtual interfaces allowing for data and information to be collected and computed for use by organizations in