The 4 Key Requirements for Business Intelligence Reporting

September 26, 2012

A recent white paper published by Birst, Inc., a San Francisco based provider of “agile business analytics” software and solutions, points up the four ‘foundational requirements’ of a business intelligence (commonly called “BI”) solution.  They remind us that our ERP systems are merely a tool, a means to an end, and that end is to extract intelligent information from the underlyingdata in order to improve our business management decisions.

The article, available here (you’ll have to provide contact info first) points to four key capabilities (along with our own commentary about them):

1.) Historical analysis and reporting.  You want information not just on your business performance, but on the key drivers of that performance as well.  You need to know not just your results, but your influencers.  This usually involves mapping and understanding data over a long time frame, measured often in years.  That’s a lot of data.

2.) Forecasting and future projection.  Collecting and understanding your data is one side of the task.  Projecting into the future is the other.  So for example, once you know something about the progress and flow of past sales deals, the size of your pipeline, the length to close… you’re more able to project the progress of future deals.  The goal is to align your resources with your forecast for maximum efficiency.

3.) Ability to integrate information from multiple business functions.  Integrating the data you need to make better decisions may require multiple data sources.  Obviously, this burden is minimized if you’re operating under, more or less, a single (or limited) silo of information.  This is where an integrated ERP solution starts to really shine.  Often the data there, give or take the contents of a couple of spreadsheets, is more than enough to provide meaningful insight.

4.) Easily explored reporting and analysis.  Decision makers need to understand the big picture.  Sometimes, they need a good bit of detail to be able to do so.  This speaks to the need for explorable reports, drill down capabilities, ad hoc queries and business dashboards.  Flexibility and robustness, without being overly complex, are helpful.  Today we find the better ERP systems can provide much of this.  More sophisticated BI solutions will boost your reporting capabilities significantly, a feature most appreciated in larger, more diverse organizations.

A solution that provides the above foundation, whether it’s part of an ERP system or an add-in, ensures you’ll have the right analytical tool when it comes time to convert hard data into meaningful information that can inform better decision making.

Ironically Bi24 provides all these elements and much more


SEARCHING: Grouping Syntax and Queries

September 25, 2012

BI24 supports using parentheses to group clauses to form sub queries. This can be very useful if you want to control the Boolean logic for a query.

To search for either “beef” or “chicken” and “London”, use the query:

This eliminates any confusion and makes sure you that “London” must exist and either term “chicken” or “beef” may exist.

SEARCHING: Range Searches

September 24, 2012

Range searches allow you to match documents whose field(s) values are between the lower and upper value specified by the range search. Range searches can be inclusive or exclusive of the upper and lower bounds. Sorting is done alphabetically.

Using square brackets performs inclusive range searches:

This will find documents whose “Branch Name” field has values between “Bristol” and “Chester” inclusive.

Using curly brackets performs exclusive range searches:

This will find all documents whose “description” fields have values between “Bristol” and “Chester”, but not including “Bristol” and “Chester”.

SEARCHING: Proximity Searches

September 24, 2012

You can use BI24 to find words that are separated by a specific number of words in a document. To do this, type the tilde (“~”) symbol at the end of a phrase followed by the number of words that separate those two words.

For example to search for a “Thin” and “Pizza” within 4 words of each other in a document use the search:


SEARCHING: Fuzzy Searches

September 24, 2012

BI24 enables you to do fuzzy searches by typing the tilde (“~”) symbol at the end of a single word term. For example to search for a term similar in spelling to “hip” use the fuzzy search hip~

This search will find terms like hop and ship.


July 9, 2012

A Harvard Business Review Article by Thomas H. Davenport, Article Review by Akhmad Rahadian Hutomo

Since the late of 1990s, the term business intelligence (BI) and its application has been widely known and used in organizations, especially in large enterprises. But in a decade later, they started to realize that changing business environment will needs something more than just BI, which now called business analytics. In 2006, an author named Thomas wrote an article on HBR entitled “Competing on Analytics” which provisions the rising needs for business analytics. Davenport started his explanation on competing analytics by giving some examples on the successful usage of killer apps in some organizations, named Amazon, Harrah’s, Capital One and Boston Red Sox. By utilizing analytics, these organizations are able to knows better about the values that customer want, which inturn be able to squeeze all the value from the processes and make the best out of it. Davenport also point out that, to be an analytics competitor, top-down approach from the senior leadership team, as well as hiring the best people are necessary. Nonetheless, not all organizations are succesfull on using business analytics due to its characteristic. The rest of the articles explains about what organizations can make the best of analytics, as well as the changes that an organization must undergo to adopt it.


Some traditional organizations may not be fully suitable with competing analytics. One best practice that an organization my want to know is how Marriot International using analytics. But, it will not work to some traditional organizations. Davenport’s study found three key attributes that an organization must have:


Analytics competitors do things beyond statistics and spreadsheets. They are using sort of things that could provide them better insights from data, such as:

  • Predictive modelling to identify the most profitable customer.
  • Data warehouse to pool inhous and outside data.
  • Optimized supply chain.
  • Real-time pricing.
  • Sophisticated experiments to calculate impact.

Some analytics competitors, especially inscurance company, like Capital One and Progessive doing series comprehensive experiments to have the best value based on their customers need, even with high-risk.


Successfull analytics competitor will implement analytics using multiple applications in wide busines functions rather than using single app. For some companies such as UPS, Capital One and Barclays Bank are already implementing business intelligence and then shifting towards full-bore analytics competitors. However, Devenport thinks that BI still have some flaws where its still use data which spreads all over the organization. The data may contains errors and make the decision inacurrate, which in contrast, analytics competitors are using centralized function to manage critical data. People within the organization is as important as the technology. Some organization like P&G create a pool of experts from various function to do the analytics.


Changing into an analytics competitor simply changes the organization, and it will require leadership skills to guide the organization towards sucessfull adoption. Its proven that if the initiative just pushed by one-or-two business unit leaders, it will not successfull. There was some key leadership qualities that the article pointed out, such as: appreciation and familiarity with analytics or analytics-minded, intuitive, and have the guts to make decision even not supported by numbers.


Basically Davenport define 4 things that makes an analytics competitor ticks, they are:


Even if an organization have the ability, it is necessary to have certain focus on only a few analytics subjects. Becoming to diffuse can make the organization losing clear sight on the purpose of analytics. Another consideration of focus is about having a deep analysis on at least 7 functions. Nowadays, advanced statistic models and algorithm ca be used widely, including in advertising and other marketing measures. Later on this subtopic, there are examples that sucessfull analytics competitors can’t be done by the organization alone, it also needs to help their vendors and customers.


The right culture to have is the culture to appreciate usage of data, fact and the things between that and the procedure to get it. It also applied in organization with high creativity and intrapreneurship: any innovation should be made based on evidence. However, always justify everything also have payoff: it might be taking long time and costly, so the managers hould balance them in order to make quick decisions.


Analytics competitors hires best people on analytics, bunch of them, to do the analytic-based decisions and make it seamlessly in line with the business. But, the people to do the analytics just as good as how far they can communicate it, so they must have sort of good interpersonal skills. In terms of formula, it might look like this:

Good Analyst = Expertise +Ablity to express it in simple way + Interpersonal skills

Of course, to get people with this quality is not easy, not to mention taking long waiting time. To have an overseas employee might be a good idea.


Analytics and IT are unseparable. It is supported by three pillars: First, THE DATA,whether it is from ERP, CRM, POS, any of them, and a lot of them, means years of data. They put it in data warehouse, which a familiar tools on BI. Second, THE BI SOFTWARE, to collect data from warehouses, analyse them and making reports. And Last, THE COMPUTING HARDWARE which enables a computation power for huge volume of data, quickly.


Well, it might be not long road, as Davenport writhe the articles 5 years before this review written in the late 2011. He was concluding his paper with reminding us that to become an analytics competitor will takes a long time until the ROI, while meantime, it will cost many efforts and expenses. Yet, it can be done gradually from current time by collecting data and refining the system, and equip the organization with analytics-minded people.


Business analytics might be an interestring concept to explore to enrich our current knowledge and view on today’s business intelligence. In contrast with BI, business analytics focuses on gaining insights and overview of organizational performance based on data and statistical methods, supported by BI applications. It also cover the issues of leadership, culture and having a certain quality of analyst within the organization. On the article, Davenport gives the readers a comprehensive look of business analytics without losing the big picture. His writing also well supported with examples which gives personal and easy-to-digest touch on complex concept. A worth to read for BI enthusiasts.

Based on a Harvard Business Review Article Titled “Competing on Analytics” by Thomas H. Davenport Published on January 2006, Article Review By Akhmad Rahadian Hutomo for Business Intelligence Assignment, Information System, Faculty of Computer Science, Universitas Indonesia on October 2011.

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