Data quality initiatives challenge organizations because the discipline encompasses so many issues, approaches and tools. Across the board, there are four main activity areas – or pillars – that underlie any successful data quality initiative. Let’s look at what each pillar means, then consider the benefits SAS Data Management brings
Balance. This is the challenge facing any organisation wishing to exploit their customer data in the digital age. On one side we have the potential for a massive explosion of customer data. We can collect real-time social media data, machine data, behavioural data and of course our traditional master and
Datenqualität ist ein Thema, das in Versicherungen häufig thematisiert wird, im Projektalltag aber ebenso häufig eine untergeordnete Rolle spielt. Ich habe Karen Prillwitz zum Stellenwert des Themas Datenqualität bei großen Versicherern befragt. Karen Prillwitz hat viele Jahre Versicherungen beraten und als Projektleiterin in einem großen deutschen Versicherungskonzern die Auswirkungen schlechter
We often talk about full customer data visibility and the need for a “golden record” that provides a 360-degree view of the customer to enhance our customer-facing processes. The rationale is that by accumulating all the data about a customer (or, for that matter, any entity of interest) from multiple sources, you
Electronic health records (EHRs) and the overall advancement of information technology have produced a tsunami of data that must be stored, managed and used. Some had naively hoped that EHRs would bring a simpler, more streamlined industry. Instead, we’re finding that the delivery and management of health care is more
.@philsimon says that even seemingly useless information can be useful under the right circumstances.
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
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
.@philsimon says that data-governance professionals will need to be more agile than ever.
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
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.
.@philsmion says that even the "best governed" organization today isn't safe from inquiring minds.
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.
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
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
Dies ist der zweite Teil der Blog-Serie zu Big Data Governance. Beginnen Sie vorher am besten mit „Teil 1: Wie Big Data Unternehmen durcheinanderwirbelt”, wenn sie ihn noch nicht gelesen haben.
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.
.@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?
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
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
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
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
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
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
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
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
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
Absent a strong executive presence, most mature organizations will continue to muddle through data integration.
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
Das „Recht auf Vergessen“ hat nichts mit der Demenzerkrankung Alzheimer tun und betrifft auch nicht nur Personen im fortgeschrittenen Alter. Das „Recht auf Vergessen“ und „Portabilität“ bezeichnen Rechte im Rahmen der neuen europäischen Datenschutzverordnung, die nach vier Jahren Arbeit die nun doch schon 20 Jahren alte Verordnung ablöst, und die
