Data quality: The not-so-secret ingredient of customer data management
Kim Kaluba explains why good customer data management starts with trusted data quality.
Tag: customer data
Three things retail winners are doing right now
Eidtor's note: Andrew Fowkes, Head of Retail Centre of Excellence at SAS UK & Ireland, explores the factors driving some retailers to excel and others to fail in a complex environment A stark polarisation is now emerging between winners and losers on the high street. Companies that have focused on
A better approach: Align data and analytics across the customer journey
Marketers today use varying adaptations of the customer journey to describe a circular, looped decision pathway with four distinct phases. Mapping the right data to specific stages of the customer journey is all about getting to know your customers and developing initiatives to put that knowledge into action. Applying analytical
Recommendations on privacy, data access and compliance
.@philsimon chimes in with trust- and privacy-related recommendations
When privacy and compliance collide with the need for speedy access to data
.@philsimon says that, once again, there's quite a bit to learn from Amazon.
How do you revive customer loyalty in the digital age?
We've been saying that the customer is queen or king for quite some time now. And in the coming year, that will be truer than ever. The customer determines where he or she finds information and which channel and which supplier gets the sale. And there is an abundance of
Customer experience has an impact on brand equity
In my first post, I discussed the importance of brand equity and its relationship to good customer experience. Consider this scenario of an organization where brand equity was negatively impacted by a fractured customer experience. In this case the “brand” is the corporate brand.
The next wave of MDM: Integrating structured and unstructured data
.@philsimon on what's next for MDM applications.
SAS 360 Discover: Elevating the role of customer insights for confident digital marketing
Generating rich customer insights – the centerpiece of successful marketing efforts – is more arduous and crucial in today’s digitally saturated world. Brands must not only understand their customers across all touch points, but analyze and glean patterns from their behavior, and quickly respond to the faintest signs of changing
Simplify, secure and speed data access with data virtualization
Data virtualization simplifies increasingly complex data architectures Every few months, another vendor claims one environment will replace all others. We know better. What usually happens is an elongated state of coexistence between traditional technology and the newer, sometimes disruptive one. Eventually, one technology sinks into obsolescence, but it usually takes much longer than we expect. Think of
Can ESP bridge the data quality gap?
As consumers, the quality of our day is all too often governed by the outcome of computed events. My recent online shopping experience was a great example of how computed events can transpire to make (or break) a relaxing event. We had ordered grocery delivery with a new service provider. Our existing provider
SAS MDM new release brings harmony to big data discord
I've been in many bands over the years- from rock to jazz to orchestra - and each brings with it a different maturity, skill level, attitude, and challenge. Rock is arguably the easiest (and the most fun!) to play, as it involves the least members, lowest skill level, a goodly amount of drama, and the
SAS Data Loader for Hadoop helps your data heroes navigate the fire swamp of big data
In The Princess Bride, one of my favorite movies, our hero Westley – in an attempt to save his love, Buttercup – has to navigate the Fire Swamp. There, Westley and Buttercup encounter fire spouts, quicksand and the dreaded rodents of unusual size (RUS's). Each time he has a response to the
Integration planning for master data management
A few years ago, I was presenting a morning course on master data management in which I shared some thoughts about some of the barriers to success in transitioning the use of a developed master data management index and repository into production systems. During the coffee break, an attendee mentioned
MDM Foundations: Adding data governance to get to MDM
In my previous post, I outlined the main components needed for a phased approach to MDM. Now, let's talk about some of the other issues around approaching MDM: data governance and the move to enterprise MDM. Where does governance come in? Throughout your MDM program, it's important that deep expertise
Customer analytics: classification vs. segmentation
David Loshin (@davidloshin) on using analytics to pinpoint your best customers.
Pricing and decision-making
Data expert David Loshin (@davidloshin) delves into value pricing and customer analytics.
Considering master data dependence and usability requirements
Last time we began to look at the opportunity for integrating a newly developed master data repository with existing business applications supported by a data warehouse. That meant understanding the requirements for integration and verifying that those requirements are met.
Integrating MDM with your data warehouse
David Loshin explains how to integrate MDM with your data warehouse.
Master data model requirements
David Loshin discusses master data model requirements.
Technical requirements for MDM/DW Integration
David Loshin explains the technical requirements for MDM/DW integration.
Balancing performance measures for data accessibility using data federation
David Loshin's latest blog post: "Balancing Performance Measures for Data Accessibility using Data Federation."
Monitoring for event patterns
David Loshin's latest blog post: "Monitoring for Event Patterns."
Data governance as an MDM program planning task (part 2)
Data governance as an MDM program planning task, part 2.
Does data governance make a difference? Part 1
Does data governance make a difference? See what @davidloshin has to say.
Small data and VRM
Jim Harris (@ocdqblog) explains the prediction he made about Small Data and VRM.