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Data Management

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

Data Management

observing data governance in action

Dylan JonesOctober 31, 2016 0

Data governance in action

Many people have the perception that data governance is all about policies and mandates, committees and paperwork, without any real "rubber on the road" impact. I want to dispel this viewpoint by sharing a simple example of how one company implemented data governance to enforce something practical that delivered long-term

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Data Management

planning operational data governance

David LoshinOctober 27, 2016 0

Operational data governance: Policy vs. procedure for data validation

In my prior posts about operational data governance, I've suggested the need to embed data validation as an integral component of any data integration application. In my last post, we looked at an example of using a data quality audit report to ensure fidelity of the data integration processes for

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Data Management

data governance

Phil SimonOctober 25, 2016 0

The next data governance challenge: Agility

.@philsimon says that data-governance professionals will need to be more agile than ever.

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Advanced Analytics | Data Management

David PopeOctober 24, 2016 0

Analytics: Four key elements for success

Analytics provides better insights into why something happened, or helps provide decision makers with information about what will happen in the future. That allows organizations to act now to improve outcomes instead of reacting to events after they happen. But it takes more than analytics alone. Achieving this level of

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Analytics | Data for Good | Data Management

doctor looking at clinical data on tablet

David DowningOctober 21, 2016 0

How mature is your decision-making strategy?

In recent healthcare blogs I’ve looked at the need to drive more value from the UK’s National Health Service (NHS) and how this relies upon the ability to make decisions based on robust, data-driven insights. But what value will these decisions have if they're not founded on a mature data

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Data Management

man considers how to measure the value of data governance

Jim HarrisOctober 20, 2016 0

How do you measure the value of data governance?

Data governance plays an integral role in many enterprise information initiatives, such as data quality, master data management and analytics. It requires coordinating a complex combination of factors, including executive sponsorship, funding, decision rights, arbitration of conflicting priorities, policy definition, policy implementation, data stewardship and change management. With so much overhead involved in

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Data Management | Programming Tips

Mary Kathryn QueenOctober 19, 2016 0

Using multiple SAS Quality Knowledge Base locales in a SAS Event Stream Processing compute window

In a previous blog post, I demonstrated combining the power of SAS Event Stream Processing (ESP) and the SAS Quality Knowledge Base (QKB), a key component of our SAS Data Quality offerings. In this post, I will expand on the topic and show how you can work with data from

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Data Management | Internet of Things

man contemplating: to stream or not to stream

Felix LiaoOctober 18, 2016 0

To stream or not to stream?

Hadoop may have been the buzzword for the last few years, but streaming seems to be what everyone is talking about these days. Hadoop deals primarily with big data in stationary and batch-based analytics. But modern streaming technologies are aimed at the opposite spectrum, dealing with data in motion and

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Data Management

woman looking for a way to define data governance

Joyce Norris-MontanariOctober 17, 2016 0

What's the difference between data governance and data management? (Part 2)

In Part 1 of this series, we defined data governance as a framework – something an organization can implement in small pieces. Data management encompasses the disciplines included in the data governance framework. They include the following: Data quality and data profiling. Metadata (business, technical and operational). Data security. Data movement within the enterprise.

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Data Management

hotel lobby representing what AirBNB teaches us about traditional data governance

Phil SimonOctober 14, 2016 0

What AirBNB teaches us about traditional data governance

.@philsmion says that even the "best governed" organization today isn't safe from inquiring minds.

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Data Management

Woman questioning who owns data quality problems?

David LoshinOctober 12, 2016 0

Operational data governance: Who owns data quality problems?

Data integration teams often find themselves in the middle of discussions where the quality of their data outputs are called into question. Without proper governance procedures in place, though, it's hard to address these accusations in a reasonable way. Here's why.

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Data Management

celebrating the value of data governance

Dylan JonesOctober 10, 2016 0

How I (reluctantly) learned the value of data governance

Data governance must encompass management of the full life cycle of a data policy – its definition, approval, implementation and the means of ensuring its observance - David Loshin, Data Policies and Data Governance I was checking out my Google stats on Data Quality Pro recently and observed that "How

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Data Management

considering how to define data governance

Jim HarrisOctober 7, 2016 0

How do you define data governance?

Data governance has been the topic of many of the recent posts here on the Data Roundtable. And rightfully so, since data governance plays such an integral role in the success of many enterprise information initiatives – such as data quality, master data management and analytics. These posts can help you prepare for discussing

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Data Management | Machine Learning

Charlie ChaseOctober 7, 2016 0

Machine learning changes the way we forecast in retail and CPG

Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the

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Manufacturing | Retail

Data for Good | Data Management

Dan StevensOctober 6, 2016 0

A playbook for analyzing real world intelligence in a health care setting

Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these

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Data Management

steel of building represents data governance

Joyce Norris-MontanariOctober 5, 2016 0

What's the difference between data governance and data management? (Part 1)

Lately, the definitions of data governance and data management look very much alike. In this two-part series, we'll define data governance and data management. And we'll see that there's a big difference in the two.

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Data Management

should we separate governance for data and analytics?

Phil SimonOctober 3, 2016 0

Should organizations separate analytics governance and data governance?

.@philsimon asks, Rather than trying to tackle a new form of governance, wouldn't your organization do better to shore up its existing data-governance practices?

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Data Management

Carmen GallagherSeptember 29, 2016 0

Big data allows us to rethink data strategy

Start with the end in mind -- wise words that apply to everything, and in the world of big data it means we have to change the way we look at managing the data we have. There was a time when we managed data quality, and the main goal was

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Data Management

businessman considering data governance skills

Dylan JonesSeptember 29, 2016 0

Data governance: The perfect marriage of soft and hard skills?

We've witnessed a significant rise in data governance adoption in recent years. Careers, technology, education, frameworks, practitioners – there's growth in all aspects of the discipline. Regulatory compliance across many sectors is a typical driver for data governance. But I also believe one of the main reasons is the realisation by

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Data Management

building on open source compared to fixing a car while you're driving it and relates to ODPi interoperability

Matthew MagneSeptember 27, 2016 0

SAS ODPi Interoperability helps reduce risk, simplify testing, accelerate development on Hadoop

Just in time for the Strata + Hadoop World Conference, SAS became the first software vendor to achieve ODPi Interoperability with our Base SAS® and SAS/ACCESS® Interface to Hadoop products. Now, that's a lot to digest – so let me back up a second and give some background as to what this

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Data Management

Carmen GallagherSeptember 22, 2016 0

Four key data monetisation opportunities

What if you could predict with near-perfect accuracy what you’re going to sell and when your customer is going to buy? Right supply, right time is the goal German manufacturers have set themselves, without reducing the configuration options customers expect. Having almost completed stage 1 of their plan – changing

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Data Management

data scientist considering

David LoshinSeptember 22, 2016 0

Automating operational data validation, Part 2

In my last post, we explored the operational facet of data governance and data stewardship. We focused on the challenges of providing a scalable way to assess incoming data sources, identify data quality rules and define enforceable data quality policies. As the number of acquired data sources increases, it becomes

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Data Management | Internet of Things

sun over planet represents big data streaming

Jim HarrisSeptember 20, 2016 0

Why big data and streaming go hand in hand

As I've previously written, data analytics historically analyzed data after it stopped moving and was stored, often in a data warehouse. But in the era of big data, data needs to be continuously analyzed while it’s still in motion – that is, while it’s streaming. This allows for capturing the real-time value of data

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Data Management

woman with laptop poracticing agile development

Phil SimonSeptember 16, 2016 0

Why an agile mind-set will lead to better data prep and analytics

.@philsimon on the need to adopt agile methodologies for data prep and analytics.

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Data Management

Joyce Norris-MontanariSeptember 14, 2016 0

Data preparation and data wrangling, Part 2 (yippee, bring your lasso)

In Part 1 of this two-part series, I defined data preparation and data wrangling, then raised some questions about requirements gathering in a governed environment (i.e., ODS and/or data warehouse). Now – all of us very-managed people are looking at the horizon, and we see the data lake. How do

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Data Management

man with tablet represents data warehouse and data

David LoshinSeptember 12, 2016 0

Data validation as an operational data governance best practice, Part 1

Data governance can encompass a wide spectrum of practices, many of which are focused on the development, documentation, approval and deployment of policies associated with data management and utilization. I distinguish the facet of “operational” data governance from the fully encompassed practice to specifically focus on the operational tasks for

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Data Management

policeman records evidence similar to preparing a business glossary

Jim HarrisSeptember 8, 2016 0

The importance of a business glossary for data preparation

Lately I've been binge-watching a lot of police procedural television shows. The standard format for almost every episode is the same. It starts with the commission or discovery of a crime, followed by forensic investigation of the crime scene, analysis of the collected evidence, and interviews or interrogations with potential suspects. It ends

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Data Management

basketball hoop represents better data and analytics mean less data prep

Phil SimonSeptember 7, 2016 0

Better tech means better analytics and less data prep

.@philsimon chimes in on new data-gathering methods and what they mean for analytics.

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Data Management

cowboy represents

Joyce Norris-MontanariSeptember 6, 2016 0

Data preparation and data wrangling, Part 1 (yippee, bring your lasso)

I'm a very fortunate woman. I have the privilege of working with some of the brightest people in the industry. But when it comes to data, everyone takes sides. Do you “govern” the use of all data, or do you let the analysts do what they want with the data to

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