10 Ways for SMBs to Capture Value from Their Data

Rob Chapman

When it comes to acquiring business intelligence (BI) capabilities, many small and medium-sized businesses (SMBs) have traditionally been at a disadvantage. They often cannot justify the large CapEx demanded of them, do not have the IT resources to run an on-premise database and server system, and are not sure that they have the breadth or depth of data to warrant such a system. Often their needs changed and evolved far faster than software could be developed and installed.

 

Slide Show

Real Questions for BI Vendors

Click through to see the questions Ann All discovered that can make a tangible difference in your diligence.

 


However, just as the prediction that there would never be more than a million cars in Britain due to the lack of chauffeurs is now laughable, the emergence of self-service BI has blown these traditional problems out of the water and opened up BI to millions of new companies.


Self-service BI is all about empowering the end user and removing the high barrier to entry, both in terms of CapEx and in-house expertise. The software-as-a-service (SaaS) model not only breaks down this barrier, but also incorporates the flexibility to grow and evolve as smaller companies respond to their data and expand.


In this paper, we explore the 10 key considerations for SMBs setting up a BI project and explore some common mistakes to avoid.


 

1. Set the business objectives


Knowing what you want to achieve helps to ensure quick and tangible returns on your investment. Whether your intentions are to analyze historical data to realign your strategy, spot trends in today's data and respond quickly, or to create predictive models to optimize your sales, knowing the primary objective for adding value with your BI application will keep the project focused and on budget. Of course, the actual usage will likely outgrow original intentions but this should not stop you having a usage target in mind. Having business goals in mind will also avoid the age-old BI pitfall of the solution becoming an IT project rather than a business initiative.


2. Don't reinvent the wheel


Building a tailored solution is expensive and the chances are that your data are not that different from 99 percent of the other companies out there. It also brings the added cost of being inflexible and needing significant in-house expertise to handle it. Unless you have some unusual data formats or particularly off-the-wall analysis you want to do, there shouldn't be any need to have a package built for you.


3. Make it fast, make it relevant


Good BI technology gives a better view of the business. Unprofitable product lines can be scrapped and resources can be moved to more profitable areas of the business. However, where SMBs differ from traditional users is that their markets and business can change and develop over a much shorter timescale. Business users cannot afford to wait weeks for BI experts to have the time to perform technical queries as in a traditional system. The data must be streamed directly from sources such as Excel or Salesforce and be easily manipulated by anyone in real time.

 

4. Don't weigh down your IT department...


... by making them responsible for day-to-day running of the service. This not only has the potential for significantly slowing down reporting, but also to prevent IT from doing their primary role effectively-supporting the business' use of IT and planning its strategic development.


5. Play with your data


While well-thought-out and planned data visualizations are extremely valuable, the ability to play freely with your data, switch between displays and mix data sets can allow insights into your company that couldn't be foreseen. It is from this kind of analysis that some of the most powerful conclusions are made. Of course, this has to be facilitated by intuitive, easy to use software.

 

Next page: Don't fight what is working

 



Add Comment      Leave a comment on this blog post

Post a comment

 

 

 

 


(Maximum characters: 1200). You have 1200 characters left.

 

 

Subscribe to our Newsletters

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


 

Resource centers

Business Intelligence

Business performance information for strategic and operational decision-making

SOA

SOA uses interoperable services grouped around business processes to ease data integration

Data Warehousing

Data warehousing helps companies make sense of their operational data