In 15 Monaten tritt die EU-Datenschutz-Grundverordnung (General Data Protection Regulation, GDPR) in Kraft. Nicht nur Unternehmen mit Sitz in der Europäischen Union bereiten sich darauf vor, sondern auch Firmen mit Sitz im Ausland sind betroffen, die personenbezogene Daten von europäischen Bürgern nutzen. Welchen Einfluss hat GDPR auf Analytics und Datenmanagement?
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The Current Paradigm for Business Forecasting So what is the current paradigm that we, the community of business forecasting practitioners and researchers, are operating under? I’d argue that for at least the last 60 years, since 1956 when Robert G. Brown published his short monograph Exponential Smoothing for Predicting Demand,
Could you imagine running a business with a 35-90% annual turnover rate? What if the average time to fill a position was anywhere between 3-12 months? This alone would cripple most organizations, but is a common reality in state and local child welfare agencies. High turnover and vacancy rates are
In a February 2015 post Offensive vs. Defensive Forecasting, I sought to distinguish two very different approaches to the business forecasting problem: Offensive: The "offensive" forecaster is focused on forecast accuracy -- on extracting every last fraction of a percent of accuracy we can hope to achieve. The approach is
A friend and I were recently debating how much caffeine is in various drinks. I felt like my hands were tied behind my back, since I had no graphs to show them. Of course, the first thing I did when I got to work was create some caffeine graphs! They turned out
Who cares about sports and data? Not just athletes, coaches and fans. It turns out that many companies outside of sporting organisations are also associated with the sports industry. For example, financial services organisations are actively involved in sports sponsorships. Retailers sell fan merchandise. Telcos build social engagement strategies around
Editor's Note: SAS' e-book, Your guide to becoming a modern marketer, provides additional guidance on the skills you need to become a modern marketer. This e-book provides a plan of action and documents lessons we've learned at SAS while modernizing our marketing organization. Today, the need to take an analytical approach to business challenges no
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.
Die EU-DSGVO (im Englischen GDPR) ist ab Mai 2018 von allen Unternehmen anzuwenden. Sie bereitet den Boden für den zeitgemäßen Schutz persönlicher Daten – denn jegliches Merkmal, das direkt oder indirekt auf die Person, den realen Kunden schließen lässt, gehört geschützt. Das kann eine IP-Adresse sein oder auch eine Ortsangabe
How far away is the nearest hospital? How far is the nearest restaurant? The nearest gas station? These are commonly asked questions whose answers depend on the location of the person asking the question. Recently I showed an algorithm that enables you to find the distance between a set of
Last December, The Every Student Succeeds Act (ESSA) was signed into law to ensure opportunity for all students in the United States. As part of this federal legislation, states now have the flexibility to design their own accountability systems following certain parameters outlined in ESSA. These accountability systems include academic and non-academic indicators. By
This past weekend, Hurricane Matthew came through the Carolinas. Some areas had record flooding, while other areas didn't. I was anxious to get back to work today, so I could use SAS software and create a custom map showing who got how much rain. But before we get to the official
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
The WHERE clause in SAS is a powerful mechanism for selecting observations as you read or write a data set. The WHERE clause supports many operators, including the IN operator, which enables you to compactly specify multiple conditions for a categorical variable. A common use of the IN operator is
Have you ever been involved in executing an exploratory analysis based on an integrated clinical trial database? If so, you've probably experienced firsthand how elaborate the initial phase of data access and data processing can be. Market analysts estimate the ratio for preparing the data, compared to actually analyzing the information,
When you were growing up, did you ever imagine that the most popular show on TV would be 24-hour coverage of a storm?!? Yes, for better or for worse, the weather has become our new reality TV. And as you watch the weather coverage, you probably see all the weather reporters showing the
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
Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the
Are you happy with the ROI on your analytics investments? Recently we’ve seen an upswing in organisations investing in analytical platform capabilities. One can assume the goal of these investments is to turn transactional data into a strategic asset. However, analytics alone will not do it. Unless your organisation is
Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these
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.
Energy suppliers are fighting for prime position in the domestic energy supply market. Disillusioned customers, increased competition due to a flood of new entrants and tighter regulations are forcing suppliers to reassess their business models. According to UK regulator Ofgem, there were 3.8 million account switches in the first six
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.
What is weighted regression? How does it differ from ordinary (unweighted) regression? This article describes how to compute and score weighted regression models. Visualize a weighted regression Technically, an "unweighted" regression should be called an "equally weighted " regression since each ordinary least squares (OLS) regression weights each observation equally.
While men still outnumber women in the analytics field, there are plenty of opportunities available for women. At a recent Chief Data and Analytics forum, I was encouraged to see a well-balanced number of senior executives presenting about the business of analytics. Speakers included 12 women and 14 men, which indicates a
Like many words, if you just say "Cat 5" different people might think you're talking about different things. Computer geeks might assume you're talking about category 5 network cabling. But around this time of the year, most people in the southeast US will probably assume you're talking about a category
.@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?
The recent releases of SAS 9.4 have featured major enhancements to the ODS statistical graphics procedures such as PROC SGPLOT. In fact, PROC SGPLOT (and the underlying Graph Template Language (GTL)) are so versatile and powerful that you might forget to consider whether you can create a graph automatically by
With today’s customers able to access rich sources of product and service information – especially pricing data – when they are mobile, retailers are being forced to innovate in the way they capture consumers’ attention. Unfortunately, attention spans are rapidly decreasing to just the few seconds that a user spends
Jared Cohen, President of Jigsaw, formerly Google Ideas, and Chief Advisor to Alphabet Executive Chairman (former Google CEO) Eric Schmidt, presented a very interesting keynote at Analytics Experience this month. In it he mentioned the idea of a ‘digital self’. He explained most people have not one but numerous digital