Data Management

Patryk ChorośMay 17, 2016 0

Data Governance - pierwsze kroki - część 2 z 4

Po wprowadzeniu w zagadnienia Data Governance oraz określeniu celów biznesowych możemy przystąpić do realizacji pierwszych zadań w budowie programu Data Governance. Krok 1: biznesowe znaczenie danych Organizacje w prowadzeniu swojej działalności posługują się wieloma, specyficznymi np. dla branży, pojęciami. Samo zdefiniowanie kto dla firmy jest klientem jest niejednoznaczne w zależności

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Polish

Data Management

Patryk ChorośMay 10, 2016 0

Data Governance - pierwsze kroki - część 1 z 4

XXI wiek to rewolucja informacyjna, gdzie wykorzystywanie danych na masową skalę jest codziennością. Każda działalność biznesowa wymaga dzisiaj, aby informacje wspierające podejmowanie decyzji były wysokiej jakości, dostarczane na czas, i co najważniejsze, były pewne i gwarantowały bezpieczeństwo prowadzonej działalności biznesowej. Rozwój ekosystemów analitycznych, oferowanych przez firmy innowacyjnych produktów i usług

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Polish

April 8, 2016 0

Advantages of a standard insurance data model

In my first blog article I explained that many insurance companies have implemented a standard data model as base for their business analytics data warehouse (DWH) solutions. But why should a standard data model be more appropriate than an individual one designed especially for a certain insurance company?

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Analytics

Andreas GöddeApril 5, 2016 0

6 Tipps für modernes Datenmanagement

Erst kürzlich habe ich mit einem CIO über die Zukunft seiner IT-Infrastruktur gesprochen. In einem erstaunlich offenen Gespräch war fast schon Verzweiflung zu hören: Jedes Jahr kämen neue Trends, alle seien megawichtig, und dazu werde neuerdings alles im Big-Data-Umfeld mit CEO-Blick durchleuchtet.

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German

Data Management

Caroline HermonMarch 31, 2016 0

Treading the murky legal waters of big data

While the growth of big data is an issue that preoccupies both the public and private sector, it’s also high on the UK government’s legislative agenda. All eyes are currently on the authorities, as we wait with bated breath to see what’s next in the quest to manage data escalation.

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English

Analytics

Michael HerrmannMarch 27, 2016 0

Datenmanagement: zu Ostern Meta-Eier finden

Das ist sicher: Ostern werden die Meta-Eier versteckt – und meist auch gefunden. Das Finden dauert vielleicht doppelt so lange wie das Verstecken: Anhand intuitiv entwickelter Metadaten im Kopf begeben sich die Kleinen auf eine mühsame Eierrecherche in Omas Garten – mit wenig Struktur und viel Glück.

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German

Data Management

Dylan JonesMarch 9, 2016 0

Data governance is nothing without data quality

When you spend long enough writing and working in any industry, you inevitably see trends emerge and reach varying levels of maturity. Data governance is one such trend, as you can see from the following Google Trends chart:

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English

Data Management

Michael HerrmannFebruary 19, 2016 0

Banken-Daten-Management: Mehr Schein als Sein?

Aktuell sprechen wir mit vielen Banken über das Management ihrer Daten. Historisch schien die Bereitstellung von Information hinlänglich gelöst: Die IT-Abteilungen stellten diverse Mart-Daten & Analyse-Tools bereit. Punkt. Banken-Daten-Management: Mehr Schein als Sein?

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German

Data Management

Joyce Norris-MontanariFebruary 11, 2016 0

Risks to consider when developing a data strategy – Part 1

Creating a strategy for the data in an organization is not a straightforward task. Not only does our business change – our software solutions also change before we can ever get done with a data strategy. So, I choose to understand that a strategy has a vision, and my vision may change

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English

Data Management

Jim HarrisFebruary 10, 2016 0

How often (and why) does your data strategy need to be updated?

In my previous post, I discussed the characteristics of a strong data strategy, the first of which was that a formal, well-defined strategy exists within your organization. This post discusses how often (and why) your organization’s data strategy needs to be updated. While strategy encompasses and sets the overall direction for

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English

Data Management

Jim HarrisFebruary 2, 2016 0

Top 5 characteristics of a strong data strategy

With data now impacting nearly every business activity, there should no longer be any doubt that data needs to be managed as a strategic corporate asset. This post examines the top five characteristics of a strong data strategy. Existence As I previously blogged, in today’s fast-moving business world now often takes priority

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English

Data Management

Joyce Norris-MontanariJanuary 25, 2016 0

Who owns the enterprise data? Part 1: IT

The other day I was in a meeting with a client and there was an argument about who owns the data. Those arguing were IT people. In this scenario, the assumption was that data from source systems would flow into and integrate with a data warehouse. I found the discussion very interesting. Here are some of the

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English

Data Management

Jeff StanderJanuary 14, 2016 0

Data strategy: Why a single, integrated view of metadata is so important

It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data

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English

Ralf StorchJanuary 5, 2016 0

Superhelden und ihr Maskierungsproblem

Superhelden gibt es viele, wie Batman, Robin, Spiderman, oder der Flash und fast alle haben das gleiche Problem – sie wollen nicht erkannt werden. Heute geht es um Superhelden und ihr Maskierungsproblem

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German

Data Management

Jim HarrisJanuary 4, 2016 0

As the calendar turns – Part 2

In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant

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English

Data Management

Jim HarrisDecember 30, 2015 0

As the calendar turns – Part 1

In this two-part series, which posts as the calendar prepares to turn 2015 into 2016, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2015 Big data continued to make

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English

Data Management

David LoshinDecember 29, 2015 0

Agility in data availability

In my recent posts, I've been exploring the issues of integrating data that originates from beyond the organization. But this post looks at a different facet of extra-enterprise data management: data availability. In many organizations, there's a growing trend of making internal analytical data accessible to external consumers. I can

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English

Data Management

Jeff StanderDecember 23, 2015 0

Managing data beyond boundaries: Third-party metadata collection

Jeff Stander passes along some of the lessons he's learned about third-party metadata collection.

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English

Data Management

Joyce Norris-MontanariDecember 21, 2015 0

Beyond the boundaries of structured data: Part one

Most people have logged on to a social media site, maybe to look up an old friend, acquaintance or family member. Some people play games, or post funny pictures or other information they want to share with everyone. Do you ever ask yourself what happens with this information? What if your business wanted to purchase this information and

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English

Data Management

Helmut PlinkeDecember 17, 2015 0

Regulatory requirements drove new data quality projects in 2015

In 2014, big data was on everyone’s mind. So in 2015, I expected to see data quality initiatives make a major shift toward big data. But I was surprised by a completely new requirement for data quality, which proves that the world is not all about big data – not

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English

Data Management

Dylan JonesDecember 15, 2015 0

How to communicate the role of data governance

Confusion is one of the big challenges companies experience when defining the data governance function – particularly among the technical community. I recently came across a profile on LinkedIn for a senior data governance practitioner at an insurance firm. His profile typified this challenge. He cited his duties as: Responsible for the collection

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English

Data Management

Jim HarrisDecember 9, 2015 0

The fight between now and later

Time. It flies. It does so whether or not you’re having fun or otherwise putting it to good use. To know where it flies, you’d need to watch. But most of us can’t make the time to watch. How we use time is important since it’s the one resource we

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English

Data Management

Daniel TeacheyDecember 4, 2015 0

Go west: 2015 Data Steward of the Year lands in California

It's Data Stewards Day! I could barely sleep last night after decorating the office with old floppy disks and outmoded data governance presentations from 2008. (Editor's note: That didn't happen, but it's a great idea for next year.) Yes, for anybody who lives and loves data, this is truly "the

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English

Data Management

David LoshinNovember 30, 2015 0

Extra-enterprise data

There is no doubt about it – over the past few years there has been a monumental shift in how we think about “enterprise” data management. I believe this shift has been motivated by four factors: Open data. What may have been triggered by demands for governmental transparency and the need

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English

Data Management

Jim HarrisNovember 19, 2015 0

Top 5 benefits of managing data where it is

Learn the top 5 reasons for managing data where it lives – whether it's in database or in memory, in the cloud or in-stream.

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English

Data Management

Phil SimonNovember 17, 2015 0

Data beyond boundaries: Reexamining the role of the data-governance council

.@philsimon on whether data governance is still relevant.

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English

Data Management

Dylan JonesNovember 4, 2015 0

Adapting to the Silo 3.0 challenge

Working on a data migration project gives you a unique opportunity to learn where your organization has fallen short in its data management strategy. It's when you start to explore your legacy data landscape that you get a feel for how big a silo challenge your company has. It wasn't

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English

Data Management

Matthew MagneSeptember 29, 2015 0

SAS Data Management helps organizations boldly go where no one has gone before

As a youngster in the 70s and 80s, Star Trek inspired my imagination and fostered a great love for science, technology and reading. (See the embedded Star Trek infographic for some interesting factoids – did you know that there were 28 crew member deaths by those wearing red shirts?) Captain Kirk and the

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English

Data Management

Jim HarrisAugust 20, 2015 0

Data governance and analytics

The intersection of data governance and analytics doesn’t seem to get discussed as often as its intersection with data management, where data governance provides the guiding principles and context-specific policies that frame the processes and procedures of data management. The reason for this is not, as some may want to

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English

Data Management

Matthew MagneAugust 18, 2015 0

What do metadata bridges, HAWQ and gender analysis have in common?

Now that another summer of 12-hour family road-trips to Maine and Ohio, pricey engineering and basketball camps for the kids, and beating the heat at the beach are over, I've taken a fresh look at what people are focused on with their data – and what SAS is providing in the data management space.

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English