10 Business Intelligence Pitfalls to Avoid in the New Decade - Slide 9

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12
Next Pitfall 8-9 Next

Pitfall 8

Delivering value within weeks – or even days – means giving people the motivation to change their behavior. The chosen technology must therefore support this methodology. Technology that is complex, cumbersome or heavily reliant on the IT function makes it difficult to demonstrate value quickly and maintain momentum and enthusiasm. And yet, many IT directors and managers are still spending millions on toxic, resource-draining assets like OLAP and data warehouses, which require large teams to develop pre-defined reports. Expensive and outdated technology like this is the reason more than 50 percent of business intelligence projects fail to deliver the expected benefit (Gartner).

BI 2.0 tools put the impetus for change in the hands of the user. With BI tools such as QlikView, this new breed of self-service technology is better able to support a people-focused deployment because it’s simple to use and its benefits are immediately apparent.

Business intelligence (BI) emerged 20 years ago as a tool for aiding decision-making. Originally seen as the preserve of analysts and board-level executives, it has slowly evolved into a more democratic medium as organizations have come to realize that decision-makers at all levels and in all departments need access to timely, relevant information. Today, a strong move toward the “consumerization” of BI is evident. Users are demanding the same speed and ease-of-use from their workplace software as ubiquitous tools like Google have delivered in their personal life.

In short, a new breed of BI tools is eschewing cumbersome, complex technology and instead focusing on making the process as intuitive and rewarding as possible. This latest wave of BI – BI 2.0 – is serving a generation of technologically savvy, information-hungry users. Characterized by pioneering features like in-memory and associative analysis, powerful BI 2.0 tools are making a more “self-service” approach to reporting and analysis possible. With them, non-technical users can combine previously disconnected information for a complete view and analysis on the fly – without help from the IT department.

So, BI software should be offering all the answers. But because many companies are still persevering with outdated BI 1.0 technologies, only 13 percent of UK companies polled in 2009 by NCC reported complete satisfaction with their BI projects. In fact, despite spending more than $7 billion on it in a year (IDC), businesses globally are in a worse shape than ever.

According to IDC, “the challenges that BI implementations present mean that many organizations still struggle to deploy BI pervasively”. QlikTech has identified 10 common pitfalls associated with BI 1.0 that prevent organizations from getting full value from their BI investments.

More Slideshows:


10 More Gadgets to Help Improve Productivity More must-have gadgets you should add to your repertoire.

Movers and Shakers: Where Some of IT's Top Executives Are Going September 2010 was a tumultuous month for CEOs as the turnover rate surged to a four-month high.


Seven Ways to Use LinkedIn to Mine for Talent LinkedIn is a veritable goldmine for those looking for potential candidates

 

Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

 
More Slideshows

ArriaNLG-IoTAutomation0x Internet of Things Personified: Integration and Automation

The real value that the Internet of Things brings is at the intersection of gathering data and leveraging it. ...  More >>

email12-190x128 Why Email Is a Business’ Greatest Untapped Resource

Five ways enterprises can use email analytics augmented by machine learning to surface insights that can help them ward off risk and meet or exceed goals across their organizations. ...  More >>

Analytics19-290x195 How to Evaluate Predictive Analytics for Your Business

Predictive analytics uses past data to forecast outcomes and target the right prospects – a move that's redefining the use of data and insights in marketing. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.