Business Intelligence for SMBs and SMEs
May 17th, 2012 by Charles Chewning
Abstract
There is no question that Business Intelligence can play a significant role in increasing internal productivity as well as competitiveness. To some extent I am going to play the role of devil’s advocate in this article and challenge people to utilize Business Intelligence at the right time and by the right people.
Why do firms suddenly need Business Intelligence?
I have read a number of articles recently that advocate the use of Business Intelligence by many people within an organization. Actually the reasoning seems to be valid. IT departments are swamped with requests for service by more and more people. Many of these requests are Business Intelligence oriented. People see things happening in their market place and need to respond as quickly as possible. Business experts say that we need to become more agile, ready to change our operational and sales strategies in an instant to meet an ever more chaotic competitive environment. Business Intelligence tools are becoming more and more powerful.
The recommended solution is simple. Teach people how to utilize Business Intelligence tools so they don’t have to wait on the IT department several weeks. The underlying assumption is equally simple. If people know how to use Business Intelligence tools, they can react quickly as market conditions shift.
Do you really need to move this quickly?
I don’t think that Business Intelligence for SMBs and SMEs needs to be based on the assumption that we need to react quickly; almost it seems as if there’s a panic. If we don’t address the crisis de jour, our opportunity to meet the challenge will pass in just a few weeks. That’s what some industry experts seem to be saying. Be ready to react instantaneously and in order to do so you need instantaneous information from your Business Intelligence system. Since IT cannot react that quickly, it’s up to the individual to generate the information they need. That means these individuals need to know how to use the Business Intelligence system.
I accept the fact that firms need to react to changing market conditions, but I don’t agree that reaction times are measured in days, not months. Business conditions do change, but you shouldn’t try to react with a speed of a commodities trader. Yes, some firms make money in the commodities market, but there are also far too many examples of firms and unsupervised individuals making bad bets.
Maybe the underlying issue is the whole notion of reacting to changing market conditions. If you need to react quickly, that’s a knee jerk motion and you may not have all of the information you need simply because you tried to use your Business Intelligence system to react quickly.
Maybe you should be more proactive?
Rather than trying to use your Business Intelligence system quickly in order to react quickly, you should proactively use your Business Intelligence system to put you in a position where you can react quickly and effectively. I think that’s the issue. You cannot achieve long term success if you are constantly reacting to changing market conditions.
This doesn’t mean you should never react quickly. Sometimes you need to do so, but the key issue is creating a proactive Business Intelligence system so that when conditions change, you already have simulated the conditions. Proactive means that you have discussed various scenarios and have the information at hand when and if conditions change. Actually you should have already defined market scenarios and used your Business Intelligence system to help you determine what your reaction should be. Proactive means that you have already asked and answered the question.
Who should generate the intelligence?
If you have decided that it’s best to be more proactive, who should be responsible for generating the information you need to make sound business decisions? I am still not convinced that people need to be spending their precious time designing Business Intelligence reports. Many Business Intelligence systems are very powerful, but this power tends to be wrapped in complexity. Most people (and firms for that matter) need to concentrate on what they do well. Sales and marketing executives should spend time determining what the firm should do, not determining how vital information can be extracted from the Business Intelligence system. That should be the responsibility of the Business Intelligence guru. Sales and marketing executives should be using information effectively, not generating it.
Does IT need to be responsible? Possibly or you could create one or more super users that know the Business Intelligence system intimately. Business Intelligence for SMBs and SMEs (given their rather limited number of employees) has to be more of a one man or woman show. That’s not the best scenario due to the risk of losing that valuable person, but then that’s an issue for all SMBs and SMEs and every one of their most talented employees. The key question you need to address is in essence the experience/benefit ratio of any Business Intelligence system. People who use a Business Intelligence tool infrequently are going to take longer to extract the information simply because they need to refresh their memory before they begin. At the same time their reliability of the data extracted might not be as high, again simply because they are not quite as knowledgeable as someone who does this more frequently.
In the end there are two objectives you need to keep in mind. If you proactively take the time now to determine what information you might need in the future and create the decision support tools (reports as well as what if analysis tools) you will need, you won’t have to react in a crisis mode when market conditions change. Second, you need to determine whether it makes sense to train people on a complex Business Intelligence tool when they may not need that tool except on an infrequent basis. Again, if you take this step now, you will be ready when the need for information occurs.
Creating an internal Business Intelligence system
Business Intelligence for SMBs and SMEs isn’t just about reacting to outside market influences. It can and should be just as important to control internal business operations. Actually this is the case for any firm.
While there is no doubt that sound business decisions are based primarily on the person making the decision, these decisions need to be based on sound information. Seat-of-the-pants decisions might work for small firms where the experience of the primary decision maker is the key element, but there is just too much information spread over too many decision makers for this practice to work in larger firms. In this case accurate and timely information must serve as the foundation upon which sound decisions can be made.
Why do you need this information?
Accounting and ERP systems can store and regurgitate just about anything you want. Actually it’s possible that for every transaction posted there can be 20, 30 or 40 fields that will allow you to slice and dice data any number of ways. The fact that you can carry reporting (intelligence?) to this level of detail doesn’t necessarily mean you should do it.
Start by asking yourself why you need the information. If it doesn’t lead to a decision, then you don’t need it.
In what format should this information be presented?
With the exception of audit trail reports, rows and columns are out. In no case can they lead to a decision.
Pie charts and bar chart are out as well. They, like row/column reports, are no more than a snapshot of a specific condition at a specific instant in time. People should never make snap decisions and that’s all this information can support.
Having said this, there is one use to which some specific data can be applied. Exception Management or Business Alerts are usually triggered by a specific value, but only if that condition falls outside an expected range. As an example, if a customer’s account exceeds its credit limit or a specific invoice becomes “x” days overdue, that condition should be brought to the attention of a named individual. Business Alerts handle the notification process while Exception Management gives users the ability to deal with an alert in a contact manager like application that allows them to track the steps they (and others) take to resolve an issue.
If rows and columns, bar charts and pie graphs are not acceptable, what’s left? Line charts are the only form of reporting that actually lets users develop a sense of the history and future of business conditions that can then give people the total picture. It really doesn’t matter where a company is today, nor does it matter where a company has been. All of that has already happened and cannot therefore be changed. What can be changed is the future and that’s where people need to concentrate their thoughts.
Think of a line chart as a beginning, a middle and an end. Historic values form the anchor upon which the line chart is constructed. The last current piece of data is the jumping off point and the extension of the line formed gives us an idea as to where our future “might” be.
Once we see the total picture, we can determine if it is heading in the right direction. Well, that’s part of the analysis, but not everything. The extended line chart gives us a hint of our future, but we still haven’t figured out if that’s where we want to be. You need a second line chart that acts as our target. Now we can see in an instant our past, one possible future and our target.
There are still two adjustments we might need to make. If the volatility of the data is significant, we may have to utilize some form of smoothing to make the data more understandable. Second, data does not follow a straight line path. Sometimes it’s increasing/decreasing over time. If that’s the case we may need to utilize some form of analysis that let’s us see these trends.
Now we can “see” the data and make a decision. If the trend seems to be within the acceptable range or budget we created, then no decision is required. If the trend seems to be heading in a negative direction, then we know we need to take action. No data analysis will ever tell us what to do, but this approach will help us determine if we need to do something and most importantly if the decisions we have taken seem to be having a positive affect.
One last thought. The key to the charts we have been discussing is that they give us an opportunity to become more proactive. If you see that your actual results are starting to trend in a negative direction, you can proactively take steps to make changes before the raw data indicates that you need to do something. Of course this is just another form of forecasting, but in this case the forecast is operationally oriented.
What information needs to be extracted and displayed?
While it is certainly easy to create graphs once the data values have been identified, the hard part is determining what you need to track. Remember, you can create any number of fields than can be used to feed your data analysis engine. Picking the right fields is the tricky part.
Think of an Income Statement. It’s got lots of data that could be graphed. Now think of virtually every accounting and ERP system’s ability to support drill down. If you can drill down from a data value to underlying information, then the information is of no use to you because it is being influenced by other data. Since you cannot track everything, you need to identify those basic factors that have the most influence on your business. Identify your profit drivers.
Maybe inventory turns in a distribution environment can be thought of as a Profit Driver. Don’t forget though that it’s not going to be possible to track every single item your carry. Maybe start with inventory turns as a whole, then by product line or possibly region. Where you start is not as important as your ability to quickly see where you may have a problem developing. Then you can drill down to a more detailed analysis.
Profit Drivers are a bit like the concept of a common denominator. You need to identify those values that are not influenced by other factors. If you can track and control these key business drivers, the Income Statement will take care if itself.
Summary
Effective business decisions drive business profitability. These decisions need to be rooted in facts that can be brought to light instantaneously. People do not have the time to guess. They need to know where to place their attention. They also need to know whether the decisions they make are having the desired effect. If there is too much data, the issues may remain clouded. If there is no way compare actual results against targets, how can you ever know if you are where you want to be or need to be. Finally, people need to identify those Profit Drivers that have the most significant impact on the organization.
Business Intelligence systems are the vehicles by which critical information can be extracted from an accounting or ERP system and used to not only monitor internal processes, but also support the strategic decision making process whereby firms can identify opportunities to create tactical advantages or meet market challenges. Since changes in tactics might need to be implemented quickly, there is no time to waste. You do not have time to query your Business Intelligence system and you certainly need to avoid the creation of erroneous data analysis.
If you are going to rely so heavily on your Business Intelligence system to support the decision making process, your analysis needs to be proactive and it needs to be managed by people that are Business Intelligence experts, not casual users. If you can determine in advance what your competition might do, then you can also determine in advance what you might do. Rather than waiting (and doing nothing) until your competition strikes, you can and should be using your Business Intelligence system to support the planning process, not support the reaction process.







