INTRODUCTION
Prior to the start of the Information Age in the late 20th century, businesses had to collect data from non-automated sources. Businesses then lacked the computing resources to properly analyze the data, and as a result, companies often made business decisions primarily on the basis of intuition.
As businesses started automating more and more systems, more and more data became available. However, collection remained a challenge due to a lack of infrastructure for data exchange or to incompatibilities between systems.
Analysis of the data that was gathered and reports on the data sometimes took months to generate. Such reports allowed informed long-term strategic decision-making. However, short-term tactical decision-making continued to rely on intuition.
In this rapidly changing world consumers are now demanding quicker more efficient service from businesses. To stay competitive, companies must meet or exceed the expectations of consumers. Companies will have to rely more heavily on their business intelligence systems to stay ahead of trends and future events.
Business intelligence users are beginning to demand Real time Business Intelligence or near real time analysis relating to their business, particularly in front line operations. They will come to expect up to date and fresh information in the same fashion as they monitor stock quotes online. Monthly and even weekly analysis will not suffice.
The capability requirements of business intelligence will increase in the same way that consumer expectations increase. It is therefore imperative that companies increase at the same pace or even faster to stay competitive.
TOPICS
- Analytics
- Business intelligence tools
- Competitive intelligence
- Digital dashboard
- Environmental scanning
- Intelligent document
- Location intelligence
- Predictive analytics
TARGET AUDIENCE
This seminar is aimed at senior (IT) management involved in deciding and implementing strategies.
