Blogs

Blogs

Data Management

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

Data Management

Dr. Laurie MilesMay 20, 2015 0

There’s no ‘i’ in data science team

Well OK, so there is an "i" in science, but being a data scientist is certainly not a lonesome job. Engagement with other team members is essential with data analytics work, so you never really work in isolation. Without the rest of the team, we would fail to ask all

Read More

Data Management

Using cellphone and considering event stream processing versus real-time processing

Jim HarrisMay 20, 2015 0

Event stream processing and/or real-time processing

Event stream processing (ESP) and real-time processing (RTP) so often come up in the same conversation that it begs the question if they are one and the same. The short answer is yes and/or no. But since I don’t need the other kind of ESP to know that you won’t

Read More

Data Management

Evan GuarnacciaMay 18, 2015 0

Event stream processing: Think "rapid"

What sends a data management product to the top of the “hot” list? In a word – speed. Especially when that speed can gracefully accommodate the huge world of streaming data from the Internet of Things. One of SAS’ hottest (and recently enhanced) products, SAS Event Stream Processing is an

Read More

Data Management

David LoshinMay 12, 2015 0

Holistic analysis and event stream processing

Over the past year and a half, there has been a subtle shift in media attention from big data analytics to what is referred to as the Internet of Things, or IoT for short. The shift in focus is not intended to diminish the value of big data platforms and

Read More

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

Read More

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

Read More

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

Read More

Data Management

Phil SimonMay 5, 2015 0

Data management lessons from Google

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

Data Management

Phil SimonApril 22, 2015 0

Analytics lessons from Amazon

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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.

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

Previous 1 … 26 27 28 29 30 … 35 Next