10 months, 12 days ago

Plan Now For Major Changes To Oracle Java Licensing Costs

Oracle has again changed licensing rules for its widely used Java product. On January 23, 2023, the company introduced a new license metric, the SE Universal Subscription. It offers all the benefits of the legacy Java SE subscription, plus universal us…

6 years, 3 months ago

Data Engineers Will Be More Important Than Data Scientists

Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500K+ per year for a Data Scientist worth it? What is a data scientist anyway? Those a real questions and are the markers that how you are supportin…

7 years, 11 months ago

The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?

The Forrester Wave for Master Data Management went live today. The results may surprise you.

MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.

Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:

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7 years, 11 months ago

The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?

The Forrester Wave for Master Data Management went live today. The results may surprise you.

MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.

Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:

Read more

8 years, 5 days ago

Do not confuse data governance with data management

Last week I participated in a roundtable during a conference in Paris organized by the French branch of DAMA – the data management international organization. During the question/answer part of the conference, it became clear most of the audience was …

8 years, 5 days ago

Do Not Confuse Data Governance With Data Management

Last week, I participated in a roundtable during a conference in Paris organized by the French branch of DAMA, the data management international organization. During the question/answer part of the conference, it became clear that most of the audience …

8 years, 3 months ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

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8 years, 3 months ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

Read more

8 years, 4 months ago

Are Data Preparation Tools Changing Data Governance?

First there was Hadoop. Then there were data scientists. Then came Agile BI on big data. Drum roll, please . . . bum, bum, bum, bum . . .

Now we have data preparation!

If you are as passionate about data quality and governance and I am, then the 5+-year wait for a scalable capability to take on data trust is amazingly validating. The era for “good enough” when it comes to big data is giving way to an understanding that the way analysts have gotten away with “good enough” was through a significant amount of manual data wrangling. As an analyst, it must have felt like your parents saying you can’t see your friends and play outside until you cleaned your room (and if it’s anything like my kids’ rooms, that’s a tall order).

There is no denying that analysts are the first to benefit from data preparation tools such as Altyrex, Paxata, and Trifacta. It’s a matter of time to value for insight. What is still unrecognized in the broader data management and governance strategy is that these early forays are laying the foundation for data citizenry and the cultural shift toward a truly data-driven organization.

Today’s data reality is that consumers of data are like any other consumers; they want to shop for what they need. This data consumer journey begins by looking in their own spreadsheets, databases, and warehouses. When they can’t find what they want there, data consumers turn to external sources such as partners, third parties, and the Web. Their tool to define the value of data, and ultimately if they will procure it and possibly pay for it, is what data preparation tools help with. The other outcome of this data-shopping experience is that they are taking on the risk and accountability for the value of the data as it is introduced into analysis, decision-making, and automation.

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