data quality

1月 272017
 

In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any […]

3 attributes that define a powerful analytics environment was published on SAS Voices.

1月 102017
 

Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's […]

The post Streaming to better data quality appeared first on The Data Roundtable.

1月 052017
 

What are the most useful skills a data quality leader can possess? As an editor of an online data quality magazine, I naturally get asked this type of question regularly at events and meetups. My answer may surprise some who are expecting a data-centric response. I firmly believe that sales and […]

The post The yin and yang of better data and analytics appeared first on The Data Roundtable.

12月 172016
 

"Two weeks to go," Santa said to himself, with millions of toys stacked up on the shelves. Each year worry hit at the same time – "How do I get the right toy to the right child without losing my mind?" Though Old St. Nick didn't have a computer science degree, deep down […]

The post How Santa uses data quality to wrap up Christmas appeared first on The Data Roundtable.

12月 162016
 

During a data quality assessment, one of my clients discovered that a large chunk of data that ultimately fed into their business analytics engine was sourced externally. After examining the contracts surrounding this data, I found that 100% of it failed to possess service-level agreements (SLAs) for the quality of […]

The post Creating analytics? Don't forget a supplier SLA policy. appeared first on The Data Roundtable.

12月 142016
 

The insurance industry is becoming increasingly focused on the digitalization of its business processes. There are many factors driving digitalization, but it’s clear that a reliable and meaningful database is the basic prerequisite successful digitalization strategy. Insurance companies are increasingly prioritizing digitalization, not because this issue is currently "in," but […]

Drivers for the digitalization of insurance was published on SAS Voices.

12月 122016
 

Historically, before data was managed it was moved to a central location. For a long time that central location was the staging area for an enterprise data warehouse (EDW). While EDWs and their staging areas are still in use – especially for structured, transactional and internally generated data – big […]

The post Managing data where it lives appeared first on The Data Roundtable.

12月 052016
 

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 […]

The post How SAS supports the four pillars of a data quality initiative appeared first on The Data Roundtable.

11月 212016
 

Our world is now so awash in data that many organizations have an embarrassment of riches when it comes to available data to support operational, tactical and strategic activities of the enterprise. Such a data-rich environment is highly susceptible to poor-quality data. This is especially true when swimming in data lakes – […]

The post The growing importance of big data quality appeared first on The Data Roundtable.

11月 102016
 

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 […]

The post The “tarnished record” – Alternatives to gold for fraud analytics appeared first on The Data Roundtable.