By utilizing the principles of data quality to improve business intelligence, companies can maximize service sales opportunities to ride out this economic storm while also setting their organizations up for success when the global economy recovers.
Everybody hates it. Everybody does it.
The first step in your performance management journey.
Let’s face it — budgeting isn’t going to make the top of any manager’s “Favorite
Things To Do” list. Yet each year, companies invest substantially to create a
comprehensive annual budget, spending heavily for specialty software, staff
overtime, and temporary help for data entry. Perhaps more costly (but less
quantifiable) are the countless hours spent by senior managers, accountants,
financial analysts, and department managers in budget preparation, revision, and
consolidation.
There's a standard list of reasons why BI projects fail: Inability to meet business requirements, lack of support from senior management, poor data quality, inadequate user training, performance problems, and old-fashioned bad development and testing efforts. Toss in people's tendency to resist change, and you have your work cut out for you if you hope to launch a system that will be accepted quickly.
Kimball University: Five Alternatives for Better Employee Dimension Modeling
The employee dimension presents one of the trickier challenges in data warehouse modeling. These five approaches ease the complication of designing and maintaining a 'Reports To' hierarchy for ever-changing reporting relationships and organizational structures.
