Beware of the "pitfalls" of business intelligence

When it comes to valuable, real-world reviews, I can always count on participants who participate in my business Intelligence discussion # topic every Friday. I recently started a group discussion on this question: "What are the five worst practices of business intelligence systems?"

So let's see why BI Projects sometimes don't fully deliver on their promises. After all, failure is very beneficial.

This is the list we compiled:

Some of the worst mistakes organizations have made in BI projects

Technology/tools:

"Think BI tools will make up for the business of not understanding"

"Think BI tools will solve business problems instead of BI"

"Providing a common solution or tool for all types of users – business intelligence is not a universal common solution"

"There is no real understanding of whether this is suitable for their organization, and is only inclined to achieve shiny projects"

Data:

"Think data quality is a technical problem"

"Think data quality is not everyone's concern."

"will be able to show bad bottom-up data with some good-looking charts that are nice bi"

"believe that the same visualization will work for different datasets"

"Suppose all data are irrelevant and some should be excluded"

Insight:

"Fear of sharing bi insights with customers and suppliers; This review is followed by a microblog:" Sharing insights is a great way to solidify the value chain of relationships "

"Rely on existing reports to implement projects and rebuild BI systems without change"

Training requirements:

"Know the importance of training, but still run out of money"

"Trust a sales rep who says you don't need too much training."

Implementation/Start:

"Implementing BI technology without a use case"

"Unwilling to break existing processes to achieve BI success"

"Does not address deviations between it and business users-" This leads to contention for scheduling priorities and reduced resources "

"The problem of not owning a business--" an example: it's in the Data warehouse, so this isn't my job.

These are the leading culprits that erode the value that BI solutions can achieve.

One of the topic participants points out that many of these problems are the same: lack of trust, trust in business users, or bi experts. " "Lack of understanding of technology leads to mistrust. Good communication between participants can reduce misunderstandings.

I agree that training--repeated training is a necessary condition for success. One participant said on Twitter that the school had finally started for teaching data enthusiasts. She observes that these days, "Everyone is a data generator and a consumer." Computation and analysis are no longer synonymous with it; they are a common way of life with everyone. "The millennium is changing our consumption patterns and reporting data, so a general change is beginning to change the importance of training.

Key: The Internet is flooded with articles and blogs that predict the coming year. I often tell reporters and inquirer that I don't have a crystal ball and don't make predictions. But I'm going to make an exception now, and I guess we'll see more successful BI projects in 2015, if the organization removes these "traps" from their practice.

Howard Dresner

"For more information on business intelligence, business intelligence solutions and business intelligence software downloads, visit Finebi Business Intelligence official website www.finebi.com"

Beware of the "pitfalls" of business intelligence