Everything You Wanted To Know But Were Afraid To Ask About BI

How does an enterprise — especially a large, global one with multiple product lines and multiple enterprise resource planning (ERP) applications — make sense of operations, logistics, and finances? There’s just too much information for any one person to process. It’s business intelligence (BI) to the rescue! But what is BI, and how does BI differ from reporting and management information systems (MIS)? What is the business impact, and what are the costs versus the benefits? What is the appropriate strategy for implementing BI and achieving continued BI success? Our new report will give business and IT executives an understanding of the four critical phases of strategizing around BI to achieve business goals — or “everything you wanted to know but were afraid to ask” about BI. Here’s a sneak preview of the kinds of topics the report covers and the kinds of BI questions one needs to ask in order to build an effective and efficient enterprise BI environment:

  1. Prepare For Your BI Program
    1. The future of BI is all about agility. IT no longer has exclusive control of BI platforms, tools, and applications; business users demand more empowerment (or make empowered changes without IT involvement), and previously unshakable pillars of the BI foundation such as relational databases are quickly being supplemented with alternative BI platforms. It’s no longer business as usual. Ask yourself:
      1. What are the main business and IT trends driving BI?
      2. What are the latest BI technologies that I need to know about?
      3. What’s out there beyond traditional BI?
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Data Discovery And Exploration - IBM Acquires Vivisimo

Today IBM announced its plans to acquire Vivisimo - an enterprise search vendor with big data capabilities. Our research shows that only 1% to 5% of all enterprise data is in a structured, modeled format that fits neatly into enterprise data warehouses (EDWs) and data marts. The rest of enterprise data (and we are not even talking about external data such as social media data, for example) may not be organized into structures that easily fit into relational or multidimensional databases. There’s also a chicken-and-the-egg syndrome going on here. Before you can put your data into a structure, such as a database, you need to understand what’s out there and what structures do or may exist. But in order for you to explore the data in the first place, traditional data integration technologies require some structures to even start the exploration (tables, columns, etc). So how do you explore something without a structure, without a model, and without preconceived notions? That’s where big data exploration and discovery technologies such as Hadoop and Vivisimo come into play. (There are many others vendors in this space as well, including Oracle Endeca, Attivio, and Saffron Technology. While these vendors may not directly compete with Vivisimo and all use different approaches and architectures, the final objective - data discovery - is often the same.) Data exploration and discovery was one of our top 2012 business intelligence predictions. However, it’s only a first step in the full cycle of business intelligence and

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