This is our blog about designing and implementing Intelligent organizations. Within this area of expertise we write often about the following subjects BI, analytics, the tools, decision management, data visualization, BI success, Business Intelligence concepts, data management, continuous improvement, and the organization of BI & Analytics.
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Most organizations tend to look at only one of the many facets of Business Analytics. Often the focus is on the technical side, or simple reporting, or possibly the internal organization, which is a pity, because Business Intelligence can add significant value in many areas: alignment with and influence on the external environment – things that are going on outside the organization, optimisation of internal processes, productivity improvements of both the people and the machines and last but not least more effective use of the technology and the mountain of data within our walls. The business case for Business Intelligence is both broad and varied.
As a result of the pressure in the current work climate the amount of time that managers and staff have to take the right decisions is decreasing rapidly, although the complexity of the decisions is increasing. This is complicated further by the fact that the amount of data needed to take good decisions is increasing exponentially*, the so-called Big Data. These two factors, time to decide and the volume of data, are diametrically opposed. As illustrated below the Business Intelligence gap will only increase unless organizations taken steps to tackle the problem.
Business Intelligence is not only about developing a better understanding of the organization; it has wider ambitions: improvement and innovation.
A recent study by one of the analysts firms tells us that “in 2011 the world will create a staggering 1.8 zettabytes” and “by 2020 the world will generate 50 times the amount of information [now]”.
In this article we explore the three biggest challenges of using big data and what to do about it: intelligent filtering, outstanding performance and good data visualization. The main question here is if the business intelligence software we are using today is capable of tackling these challenges.
It’s not news that all big organizations are changing quickly at the moment. Trends like layoff rounds, different visions and goals, changing markets, and so on, are daily occurrences. Change is the most stable factor at the moment. Innovation, speed, flexibility, and taking advantage of the changing market are crucial factors.
There’s a demand for a faster time to market, other products and services that are a better fit for this moment. But having to react quickly to new developments like social media, online sales, and the explosive growth of data has a downside: how can the organization keep everything under control, and how do you know if everything is going well?
In a recent poll among the visitors to this website, it has become clear that mobile Business Intelligence (BI) is no longer just a hype. More than 75% of those who voted, expressed that they believe that Business Intelligence will become completely mobile in the near future.
The importance of business analytics (BA) was revealed in a recent Bloomberg survey, which found that BA has been effective in decision making for three out of four enterprises. Among the improvements are increased profitability, reduced cost, faster decision making, and critical performance improvements.
Question: Which ETL tools can support Data Vault modeling out-of-the-box? What are the challenges and issues building a data vault with ETL tools?
You can still hand-code an extract, transform and load system, but in most cases the self-documentation, structured development path and extensibility of an ETL tool is well worth the cost. Here’s a close look at the pros and cons of buying rather than building.
Ab Initio has been around now for a long very time in the ETL market space to make a name for themselves. Their marketing approach appears to be one of mystique: maintain secrecy around the product while allowing some information out about the high-end customers, creating interest because of the tantalizing tidbits they provide.
For the last three months of last year Passionned Group have run a poll on their ETLtool.com site asking visitors what they thought were the most important requirements when choosing an ETL tool. The ETLtool.com site has been running since 2005 and advises visitors on the various ETL (data integration) tools available, what their strong and weak points are, how to choose an ETL tool and sells a 100 page report where popular products are analyzed and compared to facilitate choosing the right product for individual circumstances.