Blogs

Blogs

Data Management

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

Data Management

David LoshinMay 8, 2015 0

Integration and publication: Data management for analytics

Once you have assessed the types of reporting and analytics projects and activities are to be done by the community of data analysts and consumers and have assessed their business needs and requirements for performance, you can then evaluate – with confidence – how different platforms and tools can be combined to satisfy

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Data Management

Young businessman works on data virtualization

Patryk ChorośMay 8, 2015 0

In data governance’s service: Data virtualization, part 2

Data governance and data virtualization can become powerful allies. The word governance is not be understood here as a law but more as a support and vision for business analytics application. Our governance processes must become agile the same way our business is transforming. Data virtualization, being a very versatile

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Data Management

Jim HarrisMay 6, 2015 0

Analyzing the data lake

In my previous post I used junk drawers as an example of the downside of including more data in our analytics just in case it helps us discover more insights only to end up with more flotsam than findings. In this post I want to float some thoughts about a two-word concept

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Data Management

Phil SimonMay 5, 2015 0

Data management lessons from Google

@philsimon says that, yes, we can learn a great deal.

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Data Management

Matthew MagneMay 4, 2015 0

Self-service big data preparation in the age of Hadoop

In April, the free trial of SAS Data Loader for Hadoop became available globally. Now, you can take a test drive of our new technology designed to increase the speed and ease of managing data within Hadoop. The downloads might take a while (after all, this is big data), but I think you’ll

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Data Management

Businessmen discuss data virtualization

Patryk ChorośMay 1, 2015 0

In data governance’s service: data virtualization, part 1

Data governance and data virtualization can become powerful allies. The word governance is not be understood here as a law but more as a support and vision for business analytics application. Our governance processes must become agile the same way our business is transforming. Data virtualization, being a very versatile

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Analytics | Data Management

Dr. Laurie MilesApril 30, 2015 0

What's the No. 1 barrier to analytics success?

As the age old idiom goes, the early bird gets the worm and the early adopter gets the break. New technologies give clear advantages to those organisations that figure out before their early-adopting competitors how to use them effectively, an advantage that recedes as others catch up, and the technology

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Data Management

Joyce Norris-MontanariApril 29, 2015 0

Filter, format and deliver: Managing data for analytics

In the last post, we talked about creating the requirements for the data analytics, and profiling the data prior to load. Now, let’s consider how to filter, format and deliver that data to the analytics application. Filter – the act of selecting the data of interest to be used in the

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Data Management

Jim HarrisApril 28, 2015 0

Junk drawers and data analytics

In the era of big data, we collect, prepare, manage, and analyze a lot of data that is supposed to provide us with a better picture of our customers, partners, products, and services. These vast data murals are impressive to behold, but in painting such a broad canvas, these pictures

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Data Management

Dylan JonesApril 27, 2015 0

Accurate data definitions: The keystone to trusted data analytics?

One area that often gets overlooked when building out a new data analytics solution is the importance of ensuring accurate and robust data definitions. This is one of those issues that is difficult to detect because unlike a data quality defect, there are no alarms or reports to indicate a

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Data Management

Joyce Norris-MontanariApril 23, 2015 0

Data preparation: Managing data for analytics

What data do you prepare to analysis? Where does that data come from in the enterprise? Hopefully, by answering these questions, we can understand what is required to supply data for an analytics process. Data preparation is the act of cleansing (or not) the data required to meet the business

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Data Management

Phil SimonApril 22, 2015 0

Analytics lessons from Amazon

.@philsimon on what we can learn from Seattle's juggernaut.

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Data Management

David LoshinApril 15, 2015 0

Business needs and performance expectations: Data management for analytics

In the last few days, I have heard the term “data lake” bandied about in various client conversations. As with all buzz-term simplifications, the concept of a “data lake” seems appealing, particularly when it is implied to mean “a framework enabling general data accessibility for enterprise information assets.” And of

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Data Management

Jim HarrisApril 10, 2015 0

Hadoop is not Beetlejuice

In the 1988 film Beetlejuice, the title character, hilariously portrayed by Michael Keaton, is a bio exorcist (a ghost capable of scaring the living) hired by a recently deceased couple in an attempt to scare off the new owners of their house. Beetlejuice is summoned by saying his name three times. (Beetlejuice. Beetlejuice. Beetlejuice.) Nowadays

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Data Management | Internet of Things

Suzanne ClaytonApril 9, 2015 0

Will the IoT take us from identity to iDATAty?

The Internet of Things (IoT) is going to take us into the next big technology wave, which will include a massive proliferation of personal connected devices like we have never seen before – cars, toothbrushes, household appliances, watches, medical devices, bicycles, and all sorts of things on our body and in

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Data Management

David LoshinApril 9, 2015 0

Differentiating process, persistence, and publication: Data management for analytics

As part of two of our client engagements, we have been tasked with providing guidance on an analytics environment platform strategy. More concretely, the goal is to assess the systems that currently compose the “data warehouse environment” and determine what the considerations are for determining the optimal platforms to support

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Analytics | Data Management

Dylan JonesApril 8, 2015 0

Lineage, data quality and continuity: Keeping your data analytics healthy

The adoption of data analytics in organisations is widespread these days. Due to the lower costs of ownership and increased ease of deployment, there are realistically no barriers for any organisation wishing to exploit more from their data. This of course presents a challenge because the rate of data analytics adoption

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Analytics | Data Management

Leo SadovyApril 7, 2015 0

Good habits for big data

“Begin with the end in mind” - Habit #2 from Stephen Covey’s ‘Highly Effective People’. The Edge Foundation is based on the premise of: “To arrive at the edge of the world's knowledge, seek out the most complex and sophisticated minds, put them in a room together, and have them

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Data Management

Phil SimonApril 6, 2015 0

The need for speed: A look at real-time analytics

You may feel like the world is moving faster than ever. If so, then you can take solace in two facts: You're not alone in feeling this way. You're right. It is. Celebrating the 25-year anniversary of the Web, The Economist ran a piece examining the increasingly rapid adoption of new technologies.

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Data Management

Alyssa FarrellApril 6, 2015 0

Data streams and data lakes: Utilities adjust to big data vocabulary

As utilities expand analytic capabilities into more areas of the business, the reality of the data management challenge becomes very real. Most have accepted the era of "big data." But what about the quality of that big data? Is it reliable? What about the governance? Have the processes changed since

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Analytics | Data Management | Data Visualization

Alan LipsonApril 3, 2015 0

Four lessons from the Data4Decisions conference

It’s great to get in on something on the ground floor. That’s what happened at the inaugural Data4Decisions Conference and Exhibition held in Raleigh, NC, in March. It brought together business people, academics and students to explore how organizations use data management and analytics technology to enhance business processes and

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Data Management

Stuart RoseApril 2, 2015 0

Data is King

In my last blog I detailed the four primary steps within the analytical lifecycle. The first and most time consuming step is data preparation. Many consider the term “Big Data” overhyped, and certainly overused. But there is no doubt that the explosion of new data is turning the insurance business

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Data Management

Jennifer NenadicApril 1, 2015 0

How to build a data science dream team

As a data scientist, I have the rare privilege of possessing the job title that Tom Davenport and others have dubbed the sexiest job in the 21st Century. As this popular job title catches on, I’ve even noticed a trend where customers make direct requests for help specifically from “the data

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Data Management | Data Visualization

Georgia MarianiMarch 31, 2015 0

How to make your data available, interconnected and usable

It's a common problem: Your organization collects vast amounts and types of data – but it's spread across different departments and locations in various formats and systems. It’s a massive challenge to make all that data available, connected and usable to everyone who needs it. That was the scene at

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Data Management

Joyce Norris-MontanariMarch 31, 2015 0

Hadoop and big data management: How does it fit in the enterprise?

The other day, I was looking at an enterprise architecture diagram, and it actually showed a connection between the marketing database, the Hadoop server and the data warehouse. My response can be summed up in two ways. First, I was amazed! Second, I was very interested on how this customer uses

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Data Management

Sudipta SenMarch 27, 2015 0

Leveraging Analytics for a Successful Online Behavioural Advertising Strategy

In today’s era of digital marketing, advertisers have access to innovative tools and platforms, which enable them to provide Internet users with more personalized ads. Furthermore, in exchange for such helpful and free service, people do not mind sharing a little bit of personal information as it helps them find

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Analytics | Data Management

Ian JonesMarch 27, 2015 0

Oilfield contextual analytics: Do you want to play a game?

In the Cold War techno-thriller WarGames, a marine monitoring a nuclear missile silo deep under the Nevada desert sees a red warning light blink on his console. “Just flick it with your finger,” his colleague tells him. He does, and the bulb goes out. Problem solved. But what will their

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Data Management

Business people discussing who owns big data

Jim HarrisMarch 26, 2015 0

Who owns big data?

Jim Harris says the question of who owns big data is no longer an esoteric concept – it's a frequently debated topic.

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Data Management

Matthew MagneMarch 24, 2015 0

SAS MDM new release brings harmony to big data discord

I've been in many bands over the years- from rock to jazz to orchestra - and each brings with it a different maturity, skill level, attitude, and challenge. Rock is arguably the easiest (and the most fun!) to play, as it involves the least members, lowest skill level, a goodly amount of drama, and the

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Data Management

Matthew MagneMarch 23, 2015 0

EMC and SAS redefine big data analytics with the data lake

Adoption of Hadoop, a low-cost open source platform used for processing and storing massive amounts of data, has exploded by almost 60 percent in the last two years alone according to Gartner. One primary use case for Hadoop is as a data lake – a vast store of raw, minimally processed data. But, in many ways, because

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