Tag Archives: skills

Building Expertise on the Clock

An expert is a man who has made all the mistakes that can be made in a very narrow field. – Neils Bohr

If you only have a hammer, you tend to see every problem as a nail. – Abraham Maslow


 

We know that learning is continual activity. To be recognized as an expert takes a long time and dedication to practice. Most people can reach an acceptable level of knowledge and skill within a few months of working with a new skill. For some activities being acceptable is good enough. Recreational tennis players don’t need to beat Roger Federer next weekend; they want a good serve to beat their friends. Experts are the people who work harder to be better. (more…)

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Have You Seen the Latest onDemand Training Preview from Informatica University?

Informatica Training: Data Quality Developer 1 — onDemand Preview

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Informatica University – Making Mojo

We launched Informatica University onDemand two weeks ago and it is an entirely new offering for both our company and our customers. As we were building the program, I was reminded of Tom Hanks in the movie Castaway when he rubbed two sticks together to make fire. Launching onDemand has been like creating fire because we had all the raw materials. We just had to ask ourselves how to make the fire. Our sticks are our instructors and content ninjas. (more…)

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Are You Ready for Informatica University onDemand Training?

Sometimes when I watch TV, even with hundreds of channels, I believe I am going to find something interesting to watch and am often mistaken. With onDemand television programming, I can always find what I want, when I want it and watch it on my own time. When I want to pause, I pause. When I want to save, I save. It is what I want, when I want it and it is easy to find what I am looking for because things are organized clearly.

How do we take that same model and provide customers with the same flexibility for their training needs? Because there is nothing like knowing that you can implement and upgrade your Informatica products on time and within budget. (more…)

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Informatica Certification: Why Performance-Based Testing?

Why performance based testing? Performance based testing measures your ability to apply your knowledge and achieve a specific outcome. Customer success demands that a practitioner’s ability to implement, configure and use our products is validated. (more…)

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Big Data: Changing How Business and IT Interact

Most of the big data discussions have been on the technology or the numerously re-played business discoveries used as examples of big data’s power. Many companies are still in the experimental stages of big data, asking for guidance regarding what their benefits would be, how they can re-align themselves to take advantage, and what new processes might be helpful to make them successful with these powerful new capabilities. (more…)

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Informatica Certification: Demonstrate Your Skills and Ability

Informatica customers are faced with many options when selecting vendors and services, and it isn’t simply pricing that drives the decision making process. To be noticed today, data integration professionals need the credentials and reputation that official certification can provide.

Now, more than ever, it comes down to proven qualifications when making a vendor or staffing choice.  Certification provides the assurance that the required skills have been demonstrated and validated for project success. A recent study by Constellation Research confirms that “peace of mind” deployments are the number one thing that companies expect from solution providers. Certification brings peace of mind that the project team has the right skills needed to do the job. Enabling our partners and customers to demonstrate their skills objectively is the driving force behind the transformation of Informatica’s new certification program. (more…)

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When It Comes to Data Quality Delivery, the Soft Stuff is the Hard Stuff (Part 2 of 6)

In my first post I introduced the concepts of hard skills and soft skills in the context of data quality delivery, and I identified 5 soft skills that I think are highly critical to data quality delivery success, and which are typically underestimated; stakeholder management and communications, financial management, project management, commercial applications and operations. In this blog, I will discuss effective stakeholder management and communications as a key enabler of successful data quality delivery. (more…)

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When It Comes to Data Quality Delivery, the Soft Stuff is the Hard Stuff (Part 1 of 6)

I regularly receive questions regarding the types of skills data quality analysts should have in order to be effective. In my experience, regardless of scope, high performing data quality analysts need to possess a well-rounded, balanced skill set – one that marries technical “know how” and aptitude with a solid business understanding and acumen. But, far too often, it seems that undue importance is placed on what I call the data quality “hard skills”, which include; a firm grasp of database concepts, hands on data analysis experience using standard analytical tool sets, expertise with commercial data quality technologies, knowledge of data management best practices and an understanding of the software development life cycle. (more…)

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Posted in Business Impact / Benefits, Business/IT Collaboration, Data Governance, Data Quality, Enterprise Data Management, Pervasive Data Quality | Tagged , , , | Leave a comment

Non-Traditional Challenges To Achieving Data Quality

As another year comes to an end it seems like we are confronted with many of the same barriers that we faced years ago when it comes to positioning and achieving the “promise” of data quality.  So why has data quality been slow in gaining traction as a valued and integral part of the business operating model?  As data quality professionals, what can we do to overcome this inertia and advance the data quality culture?

Before we can attempt to answer these questions, we need to be able to recognize the challenges that are impeding our progress.  If you ask any data quality professional to identify the key data quality challenges that they face, the list will invariably include: lack of sponsorship, unclear ownership, environment complexity, high volumes, limited documentation, prohibitive cost, insufficient skills, inadequate tools, etc.  These are the “traditional” challenges that most everyone cites and they are certainly real.

However, in my experience over the last several years I have identified eight “non-traditional” challenges that I believe present an even greater barrier to data quality success.  My next four postings will discuss these challenges and some techniques for overcoming them.  Stay tuned.

Richard Trapp is the founder and Managing Partner of J Baron Group, LLC


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