The Enterprise Analytical Environment, a flexible, time-to-market driven and governed approach

Once a corporation has an appropriate BI & Analytics maturity level defined and the drivers to guide her to an Agnostic Informational Architecture, it is possible to detail this architecture. However, we must always have in mind that “It is not all about data, it is all about business”. Therefore, besides the drivers I listed and detailed in a previous article in this blog, the capacity of providing an ever-low time-to-market for informational solutions must pervade every single component of the architecture. Thus, I propose a generic framework to be adopted as the Enterprise Analytical Environment. Before presenting it, we must discuss a little bit about the “time-to-market” of informational solutions. The recurrent incapacity to deploy informational solutions in a timely manner is the major complaint of reporting users, and the top reason for the proliferation of Excel spreadsheets all around the corporation, creating data silos. The new tools forRead More

BI & Analytics Maturity Models, why it is important to find yourself?

Grow, improve, evolve, boost, enhance, these are the words you will always find in the visons, missions and objectives of companies, areas and departments. So, if you take Information Management and any of these words, how can you set a strategy if you don’t know where you are? What is your starting point and target, so you can define the roadmap? A maturity model aims exactly in providing tools for you to find yourselves. But before the maturity model itself, IT must define the importance of Information Management on its strategy. If IT still struggles to provide users consistent systems and a reliable infrastructure, then a maturity model definitively is not what IT must focus. On the other hand, if systems are stable and infrastructure is trustworthy, then IT should focus in seeking for BI & Analytics Maturity Model to provide consistency to its BI & Analytics strategy. The modelsRead More

The importance of the Agnostic/Non-branded Informational Architecture – Part II

What should be the main drivers of an agnostic/non-branded Informational Architecture? More than list and detail the drivers, my focus is to open discussion upon them. 1 – Non-disruptive/Minimal disruption Even in the companies which an informational architecture is not formal, it will be very hard to find, from mid-size to big ones, a company with 0 informational initiatives/investments. So, the starting point must always be: to be the less disruptive as it is possible, and the less technology-specific the informational architecture is conceived, the greater are the chances to mitigate disruptions. But, the Informational Architecture must have to focus on a TCO reduction, and as the IT world walks in SaaS (Software as a Service) and PaaS (Platform as a Service)direction, an Information Architecture SaaS/PaaS based tends to be extremely disruptive to implement considering the importance of historical data for it. It is important then, to have an architectureRead More

The importance of the Agnostic/Non-branded Informational Architecture – Part I

Since I started my IT career in the early 90’s, up to the mid-2000’s, there is one thing that all my mentors, somehow, always asked for me: “A consistent and well-structured drawing of the solution”, no matter if they wanted to see it first as a sketch, on a board or in a piece of paper; or if they just wanted to see it directly in a presentation tool. This, was only related to the fact that the some were less focused on the beauty (for the sales) and more comprehensive to my daltonism than others, but the important is that I learned from them that informational solutions requires a drawing, and therefore it gradually became a habit, and it is as is has always been in my blood. The reason is quite simple, data need to flow to become information. If you are proposing it to flows from oneRead More

BI, DW, Analytics and Big Data isn’t it all about the Reporting Business?… An Overview from Harvard Graphics to Big Data & Dataviz Tools

I believe that good part of BI, DW, Analytics & Big Data senior consultants nowadays have never heard about HG, or even know what these two letters stand for in the history of the Reporting Business. Harvard Graphics, or HG for intimates, was one of first top-market reporting tools. It has started still in DOS world and could afford to hold its position in the preference of the reporting professionals up to mid-90’s, as well as Lotus 1-2-3, was the preference in the spreadsheet market, by that time the reporting activities were centered in the financial departments. The main appeal of these tools does not differ much from the today’s self-service BI tools: beauty, ease of use, agility and IT independence. Louts 1-2-3, for example, had a special menu called WYSIWYG (What You See Is What You Get), which is also how SAP calls one of its new UI developmentRead More

Loading Image