Monthly Archive for August, 2009

Announcing the Pitney Bowes Spectrum™ Technology Platform

In the next few weeks and months, you will be hearing a great deal about the Pitney Bowes Spectrum™ Technology Platform. This represents a renaming of our enterprise data quality and location intelligence solutions formerly called Customer Data Quality (CDQ) Platform. The new name will be used beginning with the next release. If you are currently using any of the Customer Data Quality Platform Modules, this new name will not require anything from you.

Next month, you will be hearing about our 6.0 release which further expands the capabilities of our enterprise data quality solution. This release will use our new naming and be called Pitney Bowes Spectrum™ Technology Platform 6.0.

The new name was created to clarify exactly what we offer. Essentially, we are using the name Pitney Bowes Spectrum™ Technology Platform as we reference the SOA plaform in its entirety. We then grouped modules together to create five core function areas, illustrated in this diagram.

This new module alignment is very flexible. We will continue to be the only vendor to offer functionality in modular fashion. In addition, we will now bundle modules into packages for those customers who desire it.

Below are some frequently asked questions. We welcome additional questions or comments.

Frequently Asked Questions

 

Do I have to uninstall CDQ Platform to install Pitney Bowes Spectrum™ Technology Platform?

Nothing about the Pitney Bowes Spectrum™ Technology Platform naming requires you to install or uninstall anything.

 

What about the modules?

As stated above, we are keeping the modules.  It is the preference of our customers and therefore will continue to be how we offer our solution.  The module names will not change. 

 

Does this new name change the frequency or format of database updates?

No.  This will not be changed due to the new naming.

 

Will I still find the databases in the same place on the support site?

Yes.

 

Do I have to upgrade to the new Spectrum release, or can I stay on CDQ Platform 5.7?

You can stay on v5.7, but we highly recommend you move to Pitney Bowes Spectrum™ Technology Platform as soon as possible so you can take advantage of the great new features we have added.

 

Will the programs I’ve already written with the CDQ API still work?

Yes. And that is true for all available APIs.

 

What do you mean by ‘Technology Platform’? What new features does that give me?

The Pitney Bowes Spectrum™ Technology Platform refers to the overall set of solutions and the actual SOA platform.  The features that are on the existing Customer Data Quality Platform are the same as those on the Pitney Bowes Spectrum™ Technology Platform.

 

 

Is data quality old news?

There’s an old saying: “You know its time to get out of the market when the shoeshine guy is giving out stock tips.” So, does all the chatter in the press and around the blogosphere about data quality mean that its issues have already been recognized and addressed by most businesses today?

The answer is a resounding “no”. Data quality is still a substantial issue for businesses large and small; and, most businesses don’t even have their arms around how big an issue it really is.

A new Information Difference Research Study, The State of Data Quality Today, released in July provides a stark picture of the data quality dilemma still faced today. This study, sponsored by Pitney Bowes Business Insight and Silver Creek Systems, found, in a survey of 193 businesses across Europe and North America, that: 

  • Fully one-third of respondents rate their data quality as “poor at best” – and only 4% indicated that it was “excellent”
  • 42% have made no effort to measure or monitor the quality of their data
  • 63% have no idea what poor data quality may be costing them

The study also includes insights into the types of data challenges companies face; the reasons they still struggle to get the funding and focus on data quality; and the types of initiatives companies do have underway to improve their data.

It’s an illuminating read – and clearly data quality is not old news.  You can view the study today.

Data governance: It’s everbody’s business

Governance is defined as the act, process or power of governing.  Stated a different way, governance is the system or method of management. For without governance, there would be chaos. Do you think there was appropriate governance on Wall Street?

Corporate governance is a term that refers broadly to the rules, processes or laws by which businesses are operated, regulated and controlled. The term can refer to internal factors defined by the officers, stockholders or constitution of a corporation, as well as to external forces such as consumer groups, clients and government regulations.

Well-defined and enforced corporate governance provides a structure that, at least in theory, works for the benefit of everyone concerned by ensuring that the enterprise adheres to accepted ethical standards and best practices as well as to formal laws. To that end, organizations have been formed at the regional, national, and global levels.

Similar to corporate governance, data governance is a term that refers broadly to rules, processes or practices by which data is collected, shared, utilized and updated across the enterprise.  Similar to corporate governance, stakeholders and custodians for the data assets need to be identified along with well-defined policies around the integrity and up-keep of the data assets.

If every decision and every operation relies on good quality data, is it safe to assume that the quality of that data is the best it can be? Who manages that data? Who has ownership of ensuring the quality of the underlying data that corporate systems rely on and every employee relies on for analysis and operation? Is it the role of IT? Not in my opinion…

The integrity of the data (completeness, accuracy, validity, reliability, fit for use) needs to be clearly understood by all-and accountability needs to lie with every employee within the organization, not just the data stewards or the data custodians. This is where I differ from most of the industry analysts.

You see, just as it is up to every corporate citizen to uphold the corporation’s ethical standards, best practices, and laws, it is up to every member of the corporation’s data community – those who generate it, refine it, analyze it, and use it – to adhere to best practices and data governance rules.  

Today, business practices across departments encourage poor data quality practices at the point of capture and entry. For example:

  • CSRs are measured on the speed and quantity of calls answered, but not the quality of the information captured.
  • Sales reps are measured on their quota achievement and there is no accountability in terms of what they enter into SFA systems that cause product shipment and billing invoice delays.
  • POS clerks, in retail or hospitality are incented to sign-up customers for royalty cards, regardless of whether they were an existing customer.

Such practices lie at the root of why many companies bleed cash and lose face with their customers and often are not even aware of such problems.

Data Governance and accountability needs to lie with every employee and business partner and not just one or two individuals who would otherwise end up fighting a losing battle and be set up for failure.

I believe data governance is everybody’s business. How about you?