Blogs

Blogs

Data Management

Blend, cleanse and prepare data for analytics, reporting or data modernization efforts

Data Management

David LoshinDecember 16, 2014 0

Master Data Access Use Case #2: The Composite Record

In the last post we looked at the use case for master data in which the consuming application expected a single unique representative record for each unique entity. This would be valuable in situations for batch accesses like SQL queries where aggregates are associated with one and only one entity record.

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Data Management

Clark BradleyDecember 15, 2014 0

The snap, crackle and pop of data management on Hadoop

Data. It's everywhere. It can reside in many places through replication, accessibility needs or infrastructure costs. For reporting, that same data can be structurally changed (denormalized or aggregated) into additional reporting and analytic data repositories. Over time, new sources of enrichment of that data become available through traditional data sources

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Data Management

Cindy EtsellDecember 12, 2014 0

Winning arguments to convince your boss about Hadoop

Getting universal buy in for Hadoop needn’t be an uphill struggle. In many cases, it only takes one pilot project to realize the benefits of low cost storage combined with powerful analytics. The Hadoop topic provoked passionate conversatoin at a recent roundtable discussion attended by over 25 people from a range

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Data Management

Phil SimonDecember 11, 2014 0

When data isn't sticky enough to keep customers

.@philsimon on the stickiness of data

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Data Management

Jim HarrisDecember 10, 2014 0

Data steward is a tough role to play

In my previous post I explained that even if your organization does not have anyone with data steward as their official job title, data stewardship plays a crucial role in data governance and data quality. Let’s assume that this has inspired you to formally make data steward an official job title. How

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Data Management

David LoshinDecember 9, 2014 0

Master data access use case #1: The unique record

Last time I suggested that there are some typical use cases for master data, and this week we will examine the desire for accessibility to a presumed “golden” record that represents “the single source of truth” for a specific entity. I put both of those terms in quotes because I

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Data Management

Joyce Norris-MontanariDecember 8, 2014 0

Cracking the code to successful conversions: Prototype or not!

To perform a successful data conversion, you have to know a number of things. In this series, we have uncovered the following about our conversion: Scope of the conversion Infrastructure for the conversion Source of the conversion Target for the conversion Management for the conversion Testing and Quality Assurance for

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Data Management

Dylan JonesDecember 5, 2014 0

The causal link between education and data quality

Here on the Data Roundtable we've discussed many topics such as root-cause analysis, continual improvement and defect prevention. Every organization must focus on these disciplines to create long-term value from data quality improvement instead of some fleeting benefit. Nowhere is this more important than the need for an appropriate education strategy, both in

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Data Management

Phil SimonDecember 4, 2014 0

Mission impossible: Understanding healthcare

So much for a single version of the truth.

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Data Management

Leo SadovyDecember 2, 2014 0

Big Silos: The dark side of Big Data

The bigness of your data is likely not its most important characteristic. In fact, it probably doesn’t even rank among the Top 3 most important data issues you have to deal with. Data quality, the integration of data silos, and handling and extracting value from unstructured data are still the most

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Data Management

David LoshinDecember 2, 2014 0

Demonstrating master data accessibility

I have probably touched on this topic many times before: accessing the data that has been loaded into a master data environment. In recent weeks some client experiences are really highlighting something that is increasingly apparent (and should be obvious) for master data management: the need to demonstrate that it

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Data Management

Joyce Norris-MontanariDecember 1, 2014 0

Cracking the code to successful conversions: Enterprise data modeling

There are multiple types of data models, and some companies choose to NOT data model purchased software applications. I view this a bit differently. I think that any purchased application is part of our enterprise, thus it is part of our enterprise data model (or that concept is part of the

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Data Management

Dylan JonesNovember 28, 2014 0

Looking at application procurement through a data quality lens

When you examine where most data quality defects arise from, you soon realise that your source applications are a prime culprit. You can argue that the sales team always enter incomplete address details, or the surgeons can't remember the correct patient type codes but in my experience the majority of

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Data Management

Jim HarrisNovember 26, 2014 0

Data needs a Copernican Revolution

Data. Our industry really loves that word, making it seem like the whole world revolves around it. We certainly enjoy revolving a lot of words around it. We put words like master, big, and meta before it, and words like management, quality, and governance after it. This spins out disciplines

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Analytics | Data Management

Suzanne ClaytonNovember 24, 2014 0

Be proactive. Be a trailblazer with data.

For many industries, big data analytics have opened numerous doors for more employees to be groundbreaking and to challenge the corporate status quo. Prior to big data technologies, risk taking behaviors were primarily reserved for provocative souls who stretched organizational boundaries to disrupt industries, such as airline revenue management. There were winners and losers

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Data Management

Joyce Norris-MontanariNovember 24, 2014 0

Cracking the code to successful conversions: Facilitated session and follow-up interviews

Don't be shy! Interviewing people BEFORE or AFTER a facilitated session just takes a bit of confidence, and good preparation. Building your confidence gets easier and easier the more you participate in interviews. The objective is to prepare and not waste anyone’s valuable time. I like to prepare notes based on

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Data Management

Dylan JonesNovember 21, 2014 0

Data quality mastery depends on change management essentials

Many managers still perceive data quality projects to be a technical endeavour. Data being the domain of IT and therefore an initiative that can be mapped out on a traditional project plan with well-defined exit criteria and a clear statement of requirements. I used to believe this myth too. Coming

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Data Management

Tamara DullNovember 20, 2014 0

Non-geeks want to know: will Hadoop mess up my data warehouse ecosystem?

Hadoop recently turned eight years old, but it was only 3-4 years ago that Hadoop really started gaining traction. It had many of us “older” BI/DW folks scratching our heads wondering what Hadoop was up to and if our tried-and-true enterprise data warehouse (EDW) ecosystems were in jeopardy. You didn't

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Data Management | Risk Management

Larry RoadcapNovember 10, 2014 0

Value from Business-Driven Stress Testing

Going Beyond Regulatory-Mandated Tests to Achieve True Risk Management I regularly hear banking customers talk about ‘sweating their assets’ - leveraging their substantial investments in expanded teams of risk analysts, re-engineered processes and new risk systems for Basel II and III compliance – to gain better insights into their business.

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Analytics | Data Management | Internet of Things

Suzanne ClaytonNovember 6, 2014 0

Big data without analytics is just data

Data has value IF you can analyze it, said participants at a big data analytics roundtable at the Premier Business Leadership Series in Las Vegas. In attendance were executives from some of the largest Communications companies in the world including from the US, Canada, Turkey, Japan, Australia and the Philippines as well

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Data Management

Olivier PenelNovember 4, 2014 0

Words of wisdom from big data early adopters

With big data, data governance challenges escalate in many ways: The diversity of data sources means that there are minimal standards for data structure, definition, semantics and content. The lack of control over data production means that you can’t enforce data quality at the source as you can do with

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Data Management

Wilson RajOctober 31, 2014 0

Data privacy doesn't have to be scary

Marketers are walking a tightrope today with data privacy issues: Data can simultaneously bring customers and brands together and further drive them apart. Recent data breaches, potential changes in data-privacy legislation and regulations loom large as customer expectations concerning marketing data continue to rise. As a result, today’s complex data

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Data Management

Suzanne ClaytonOctober 28, 2014 0

True digital marketing intelligence is all in the data!

At a recent MESA - Hollywood IT Society Digital Marketing conference, Claudio Ludovisi, SVP, Operational Strategy NBCU Entertainment for Marketing & Digital took a live poll of about 200 or so media marketing executives in the audience and asked them to “Think about what it takes to achieve true multiplatform

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Data Management

Mazhar LeghariOctober 27, 2014 0

Four tips for putting business users in touch with Hadoop

The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research. There is no doubt that IT teams are

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Data Management

Anna BrownOctober 17, 2014 0

Got a SAS question? Just Google it.

How many times a day do you search (or “Google”) how to do something with a product, the best ways to perform “X,” or for help with a problem? Chances are it’s a lot, and when you do, you likely land on a forum where your peers have posted answers

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Data Management | Data Visualization

Katherine ChinnOctober 8, 2014 0

Exploring athletic data down to the individual stroke

Since my opening blog post about our new partnership with British Rowing and the GB Rowing Team, I’ve had a deep dive into their data, and we’re now close to our first key milestone – having all the data about a rower in a single location, so we can then

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Data Management

Anne BelderOctober 7, 2014 0

Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing

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Data Management

Stefan AhrensOctober 1, 2014 0

Predictive analytics and Hadoop: Challenges and solutions for managing the whole analytics lifecycle

So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available

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Advanced Analytics | Analytics | Customer Intelligence | Data Management

Alan LipsonSeptember 30, 2014 0

Get your house in order to cash in on retail’s omnichannel promise

Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success

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Data Management

Stuart RoseSeptember 26, 2014 0

Decision Driven Marketing ..Real-time or No Time

People often talk about the customer experience and the engagement model. This is an easier task when a business has regular interactions with its customers like banks and retailers. However, for insurers, this is a challenge. First of all, insurers have infrequent interactions with their customers. When there is interaction,

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