data management for analytics

8月 222016

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 […]

The post Clean-up woman: Part 2 appeared first on The Data Roundtable.

8月 172016

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 […]

The post Data prep considerations for analytics, Part 1 appeared first on The Data Roundtable.

8月 152016

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 […]

The post Data cataloging for data asset crowdsourcing appeared first on The Data Roundtable.

8月 102016

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. […]

The post Clean-up woman: Part 1 appeared first on The Data Roundtable.

8月 082016

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 […]

The post Data prep and self-service analytics – Turning point for governance and quality efforts? appeared first on The Data Roundtable.

8月 032016

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 […]

The post Who was that masked data? appeared first on The Data Roundtable.

8月 022016

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 […]

The post Crowdsourcing data assets in the data lake appeared first on The Data Roundtable.

5月 092016

In my previous post I discussed the practice of putting data quality processes as close to data sources as possible. Historically this meant data quality happened during data integration in preparation for loading quality data into an enterprise data warehouse (EDW) or a master data management (MDM) hub. Nowadays, however, there’s a lot of […]

The post Where should data quality happen? appeared first on The Data Roundtable.

4月 112016

Throughout my long career of building and implementing data quality processes, I've consistently been told that data quality could not be implemented within data sources, because doing so would disrupt production systems. Therefore, source data was often copied to a central location – a staging area – where it was cleansed, transformed, unduplicated, restructured […]

The post Pushing data quality beyond boundaries appeared first on The Data Roundtable.

4月 082016

A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA […]

The post Can SAS Data Management get you to soccer on time? appeared first on The Data Roundtable.