Data Management

Joyce Norris-MontanariAugust 22, 2016 0

Clean-up woman: Part 2

In my last post, I talked about how data still needs to be cleaned up – and data strategy still needs to be re-evaluated – as we start to work with nontraditional databases and other new technologies. There are lots of ways to use these new platforms (like Hadoop). For example, many

Read More

English

Data Management

Phil SimonAugust 17, 2016 0

Data prep considerations for analytics, Part 1

I'm hard-pressed to think of a trendier yet more amorphous term today than analytics. It seems that every organization wants to take advantage of analytics, but few really are doing that – at least to the extent possible. This topic interests me quite a bit, and I hope to explore

Read More

English

Advanced Analytics | Data Management

Charlie ChaseAugust 15, 2016 0

The Demand Signal Management Proposition

"Tap into all your demand signals. Organize. Visualize. Analyze. Predict. Orchestrate. Optimize." The availability and collection of data are compelling companies to invest in demand signal management solutions to take advantage of the vast amount of information to support their planning processes. However, many have not gotten the return on

Read More

English

Manufacturing

Data Management

David LoshinAugust 15, 2016 0

Data cataloging for data asset crowdsourcing

What does it really mean when we talk about the concept of a data asset? For the purposes of this discussion, let's say that a data asset is a manifestation of information that can be monetized. In my last post we explored how bringing many data artifacts together in a

Read More

English

Data Management

Joyce Norris-MontanariAugust 10, 2016 0

Clean-up woman: Part 1

If your enterprise is working with Hadoop, MongoDB or other nontraditional databases, then you need to evaluate your data strategy. A data strategy must adapt to current data trends based on business requirements. So am I still the clean-up woman? The answer is YES! I still work on the quality of the data.

Read More

English

Data Management

Dylan JonesAugust 8, 2016 0

Data prep and self-service analytics – Turning point for governance and quality efforts?

The demand for data preparation solutions is at an all-time high, and it's primarily driven by the demand for self-service analytics. Ten years ago, if you were a business leader that wanted to get more in-depth information on a particular KPI, you would typically issue a reporting request to IT

Read More

English

Data Management

Emanuela SfercoAugust 5, 2016 0

Why does your company need an analytics culture?

The digital disruption is creating unforeseen events, such as new competitors, products and services that threaten the performance and positioning of consolidated players. Big data and analytics prove themselves, through successful user cases, as the answer to intercept the demand, prevent churn, draw an integrated view of the customer, manage

Read More

English

Data Management

Phil SimonAugust 4, 2016 0

Modernization requires unification

.@philsimon channels his inner Queen Latifa.

Read More

English

Data Management

Jim HarrisAugust 3, 2016 0

Who was that masked data?

Data access and data privacy are often fundamentally at odds with each other. Organizations want unfettered access to the data describing customers. Meanwhile, customers want their data – especially their personally identifiable information – to remain as private as possible. Organizations need to protect data privacy by only granting data access to authorized

Read More

English

Data Management | Fraud & Security Intelligence

Henrik KiertznerAugust 3, 2016 0

How will Brexit impact cybersecurity?

Some weeks have passed since the United Kingdom voted, by a margin of 52 per cent for and 48 per cent against, to leave the European Union, the organization it's been a leading member of since 1973. The tumultuous global reaction to the vote has those of us in information

Read More

English

Manufacturing

Data Management

David LoshinAugust 1, 2016 0

Crowdsourcing data assets in the data lake

A long time ago, I worked for a company that had positioned itself as basically a third-party “data trust” to perform collaborative analytics. The business proposition was to engage different types of organizations whose customer bases overlapped, ingest their data sets, and perform a number of analyses using the accumulated

Read More

English

Data Management

Phil SimonJuly 28, 2016 0

ETL and data warehouses are dead! Long live ETL and data warehouses!

Why they will still play a valuable role in organizational data-management and -integration efforts.

Read More

English

Data Management

Joyce Norris-MontanariJuly 27, 2016 0

Hadoop and MDM – Who is the master?

Today, I was in a conversation about using Hadoop (a big data platform) for master data management (MDM). I still find it amazing when we have the discussion of what systems feed another system. Many of our friends have spent years creating MDM for customer, product, etc. with success. I'm a

Read More

English

Data Management

Dylan JonesJuly 26, 2016 0

Modernisation is the new normal

In my last post, I talked about how to observe the impact of modernisation through a data quality lens. I asked you to consider the quality of your legacy data and what that means on the "shiny new toy" you intend to buy in the future. In this post, I

Read More

English

Data Management | Programming Tips

Nicolas RobertJuly 25, 2016 0

Four ways to conduct a web search for business terms with SAS Business Data Network

SAS Business Data Network is SAS’ solution for managing glossaries of common business terms. This is part of the SAS Data Governance offering as well as bundled with Advanced versions of all SAS Data Management bundles. One thing that is important regarding Data Governance in general, and this solution in

Read More

English

Data Management | Programming Tips

Mary Kathryn QueenJuly 21, 2016 0

Using an alternate Quality Knowledge Base (QKB) in a DataFlux Data Management Studio data job

In DataFlux Data Management Studio, the predominate component of the SAS Data Quality bundle, the data quality nodes in a data job use definitions from something called the SAS Quality Knowledge Base (QKB). The QKB supports over 25 languages and provides a set of pre-built rules, definitions and reference data

Read More

English

Data Management

Phil SimonJuly 20, 2016 0

Four DI modernization mistakes

.@philsimon with some recommendations on modernization.

Read More

English

Data Management

Patryk ChorośJuly 19, 2016 0

Data Governance – first steps – part 4 of 4

At this stage, our organization has defined business objectives for Data Governance programme and shares business term definitions which it uses. This logical area of data and information management has been supplemented with a bridge to technical metadata – in the previous step we obtained one place, which combines the

Read More

English

Data Management

Jim HarrisJuly 18, 2016 0

Modernization and data-driven culture – Part 2

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data

Read More

English

Data Management

Chris HartmannJuly 14, 2016 0

Data ops: Better way to prepare data for analytics and IoT?

We all find change easier when it starts with something we’re familiar with. That’s why I think sports analytics examples are popular – most of us are sports fans, so we get it more easily. It’s also why automotive examples that illustrate the potential reach of the Internet of Things

Read More

English

Data Management

David LoshinJuly 13, 2016 0

A modernized approach to data lake management

In my last post, I started to look at the use of Hadoop in general and the data lake concept in particular as part of a plan for modernizing the data environment. There are surely benefits to the data lake, especially when it's deployed using a low-cost, scalable hardware platform.

Read More

English

Data Management

Jim HarrisJuly 11, 2016 0

Modernization and data-driven culture – Part 1

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data

Read More

English

Data Management

Phil SimonJuly 7, 2016 0

Modernization starts at the top

Absent a strong executive presence, most mature organizations will continue to muddle through data integration.

Read More

English

Data Management

Joyce Norris-MontanariJuly 6, 2016 0

MDM and Hadoop – Part 1

How many companies are using Hadoop as part of their master data management initiative? Come on, raise your hands! Well, maybe a better question is this: How many companies are using Hadoop for enterprise data? From what I have seen, Hadoop is coming along quite nicely. However, it may not be the

Read More

English

Data Management

Patryk ChorośJuly 5, 2016 0

Data Governance - first steps - part 3 of 4

At this stage our organization has already defined the business objectives for Data Governance programme (step 0) and started to manage business terms, as described in step 1. Step 2: tracking data flow in organization Data Governance is not only related to understanding the data – it also focuses on

Read More

English

Data Management

Carmen GallagherJuly 3, 2016 0

The three P’s of data monetisation

Data monetisation is a hot topic these days. Especially for people like me watching the movements of early adopters – companies who are using data to create new revenue streams or even create new businesses to capture those revenue streams. DataStreamX is a notable start-up whose sole business is cashing

Read More

English

Data Management

Dylan JonesJune 29, 2016 0

How to observe the impact of modernisation through a data quality lens

At some point, your business or IT leaders will decide – enough is enough; we can't live with the performance, functionality or cost of the current application landscape. Perhaps your financial services employer wants to offer mobile services, but building modern apps via the old mainframe architecture is impractical and a replacement

Read More

English

Data Management

David LoshinJune 27, 2016 0

Leveraging the data lake concept for data modernization

More and more organizations are considering the use of maturing scalable computing environments like Hadoop as part of their enterprise data management, processing and analytics infrastructure. But there's a significant difference between the evaluation phase of technology adoption and its subsequent production phase. This seems apparent in terms of how organizations are

Read More

English

Data Management

Phil SimonJune 22, 2016 0

Thoughts on data scientists, data modernization and golf

What's more, CXOs who believe that they can substitute data scientists for real data integration are as foolish as the duffer who consistently uses the wrong club.

Read More

English

Data Management

Patryk ChorośJune 21, 2016 0

Data Governance - first steps - part 2 of 4

Having introduced the term of Data Governance and defined business objectives, we can start to fulfill the first tasks within Data Governance programme construction. Step 1: business meaning of data While conducting their activity, organizations use many industry-specific terms. The mere definition of who a customer is for the company

Read More

English