Key Themes in this Blog

This blog was originally started with a focus on analytics albeit with a focus on the data aspects. Over time, the focus has shifted more to data management and data governance. Originally, this was due to the fact that despite what organizations want when it comes to analytics, they simply cannot get there as the data foundations are not established. For most companies analytics projects start with a data project – hence the shift in focus.

There are a number of themes that are driving this blog. The idea is to focus on approaches, solutions and products that address the topics below. These are not mutually exclusive and are often related and build on one another.

  1. Implementing the “Right” analytics solution
  2. Integrated Analytical Approaches
  3. Adaptive Analytics
  4. Big Data – The Buzz
  5. Intersection of Data Management and Analytics
  6. Structured vs. Unstructured Data

Implementing the “Right” Analytics Solution.

The stories are numerous regarding analytical projects that have failed. At times this is simply a business case problem – the project was never really grounded and bounded in the business issue. However, at other times, even when the business justification was solid, projects fail.

I contend that this is because the design and / or implementation team never created the link between the business justification, the operational context, and the analytical capabilities that exist or can exist within the company. The right answer involves engaging all three aspects in a process that effectively ties them together.

This blog will explore and document approaches taken in industry – or by the contributing members of the site – to identifying and implementing high impact analytics.

Integrated Analytical Approaches.

In one form or another effective analytics involves integrating various aspects of an organization’s capabilities together to either feed an analytical process or incorporate an analytical output into the operational activities of the organization.

Traditional analytics has been able to act in a disassociated way from the organization – slide the pizza under the door so the stats guy can make the right model. However, this is changing as the industry matures, and organizations begin to understand the value of analytics as an enterprise level capability versus a divisional tool.

This blog focuses on understanding what vendors are providing integrated tools sets, and for those that are not, identifying the boundary and the associated tools or capabilities required to deliver effectively integrated analytics.

Adaptive Analytics.

Adaptive analytics is defined as analytics designed for adaptive problems, or those problems that change due to the effectiveness of the analytical activity – fraud is an example. To the extent fraud analytics is successful, perpetrators of fraud will change what they are doing. This makes the traditional modeling approach – based on the tenet that past observations will determine future actions – obsolete.

This blog will provide commentary on vendors and approaches that address this challenge.

Big Data – The Buzz.

Big Data and Cloud Computing are buzz words, and there is much confusion about what they mean especially as this relates to analytics and the associated activities – particularly data management activities.

The Big Data techniques and the technologies that have emerged as a result of the Cloud computing trend are changing how analytics is performed. The vendor market has evolved products and how they are marketed to reflect these new buzzwords. This blog will attempt to highlight vendors and approaches – especially in those instances where the marketing department may have got ahead of the realities of a particular product or market segment.

Intersection of Data Management and Analytics

Enterprise data management teams have often been seen as a hindrance to effective analytics. However, good data management is a key success factor. How do practitioners address this paradox?

This becomes a more important discussion with the advent of Big Data and the incorporation of analytics into the tactical operations of an organization. This blog will track and highlight activities by vendors and practitioners to address this challenge.

Structured vs. Unstructured Data

So much of what is practiced today is grounded in the analysis of structured data. The process of taking unstructured data, structuring it, and then incorporating it into a range of analytical activities is less well understood. However, this is critical to effective analytics.

This blog will provide a forum to identify interesting approaches and the products that assist practitioners to structure the unstructured.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: