You’ve Got Data? Well Don’t Start There!

C3Centricity

Did the title about data make you curious? Of course, in today’s data-rich environment I’m not really suggesting that you actually ignore it! If so, then just follow the steps I detail below and you will soon be doubling, quadrupling, if not 10x the ROI of your data.

Data 319

Data for the Sake of Data? Never!

CX Journey

Image courtesy of Pixabay "Data is just data until you do something with it," right? Today, on a webinar with Logi Analytics , I am sharing tips on moving beyond data for the sake of data (and dashboards for the sake of dashboards).

Data 140

A Whole-Field Approach to Data Integration

MaritzCX

Now that Summer is in full swing, many eyes are looking forward to another season of America’s Pastime, BASEBALL! As a baseball fan myself, I follow the team of my childhood, the 1992 and 1993 World Series Champions, the Toronto Blue Jays.

Data 385

The problem of real-time data in CX

Customer Bliss

Real-time data is a problem for customer experience. Here’s a relevant pull quote: “We live in a right-now economy, and deriving real-time insights and acting on customer data has never been more important for organizations to succeed,” said Billy Bosworth, CEO at DataStax. “We

Data 225

The Impact of Email Branding When Gathering Insightful Data

MaritzCX

Every CX program wants to gather as much insightful data as possible. We all are asked to provide our feedback multiple times every day. One day, I decided to count how many times I was asked to provide feedback. I initially thought maybe once per day, but when I counted it, I was invited to.

Brands 260

For Data Scientists, Big Data is not so Big

Bob Hayes

In our study of data scientists, we found that only about a third of them possessed skills needed to handle big and distributed data. These results are in line with findings from other studies that find that data scientists typically analyze small data sets.

Data 81

Data Science Reveals 3 Problems with the NPS Dogma

Bob Hayes

By applying data science principles to understanding the research behind the NPS, however, we see that the NPS claims have three serious problems. But there are other, better approaches to summarizing data, including: Mean Scores: This is the arithmetic average of the set of responses.

NPS 94

Data Rich, Insight Poor

Ann Michaels and Associates

Most companies would say they are data-driven. You gather as much data as possible in order to make strategically based decisions regarding marketing, branding, budget, and new product ideas. Because more data equals more insights, right?

Data 52

The Beautiful Big Data

MaritzCX

What can Big Data mean for your Voice of Customer (VoC) software platform and program? Meeker’s 2014 edition has a section on Big Data where she lists the following six trends: View Article.

Data 260

The Beautiful Big Data

MaritzCX

What can Big Data mean for your Voice of Customer (VoC) software platform and program? Meeker’s 2014 edition has a section on Big Data where she lists the following six trends: View Article

Data 260

A Whole-Field Approach to Data Integration

MaritzCX

Spring is in the air and with Summer on the way, many eyes are looking forward to another season of America’s Pastime, BASEBALL! As a baseball fan myself, I follow the team of my childhood, the 1992 and 1993 World Series Champions, the Toronto Blue Jays. As a fan of analytics, I enjoy delving deeper. View Article. Retail

Data 200

Shocking! Yahoo’s data breach

Beyond Philosophy

That was over two years ago—ironically around the same time as the Yahoo Data breach. Later, when Yahoo account holders think of the brand, they will remember feeling afraid, angry and disappointed that it lost their data to hackers, where it ended up on the black market.

Data 171

3 Ways Integrated Analytics Can Solve Your Data Nightmare

Calabrio

When it comes to making operations more efficient, most executives know they need to leverage data to identify areas of improvement. Data collection and storage is manageable, but executives can easily find themselves with a mountain of information and more questions than answers.

Data 169

When It Comes to Data Personalization: With Great Data Comes Great Responsibility

Smarter CX

The SmarterCX team recently asked consumers how they feel about artificial intelligence and data personalization, and the line between creepy and convenient interactions. Here’s the advice they shared about using data personalization responsibly. CX today is being driven by data.

Data 90

Dashboard and Reporting Techniques to Visually Communicate Complex Data

MaritzCX

In a world in which more and more data is available from a wide variety of channels, many different information sources are being bundled to form the basis for obtaining new and more detailed insights. Editor’s note: This is a chapter from the ebook, Unlock the Value of CX.

Dashboard and Reporting Techniques to Visually Communicate Complex Data

MaritzCX

In a world in which more and more data is available from a wide variety of channels, many different information sources are being bundled to form the basis for obtaining new and more detailed insights. Editor’s note: This is a chapter from the ebook, Unlock the Value of CX.

Sell the Value of Data Insights to the C-Suite

inContact

The key to unlocking this power is the insight provided by data analytics. There are three primary points to cover when selling the value of data insights to the C-suite: Outline the functionality and benefits of using analytics.

Data 168

Take Action on Your Customer Data!

CX Journey

Image courtesy of ARMLE Are you taking action on your customer data? The Future is Now: Take Your Customer Data to the Next Level Two Major Flaws of Your Customer Listening Efforts It's a problem. Ensure that you have multiple streams/types of data for more-robust analysis.

Data 154

What’s Missing from your Data Insights?

360Connext

It’s vital to use real-life situations and analysis to determine what ACTIONS to take on those data insights if you want to work through your toughest customer experience issues. More Posts - Website Follow Me: The post What’s Missing from your Data Insights?

Data 175

Making Sense of Unstructured Data with Text Analytics

MaritzCX

In case you hadn’t noticed, the amount of data in the world is increasing at an exponential rate. I’m often asked about all this unstructured data and how companies can. For example, every minute there are nearly 4.2

Data 260

How Data Science Helps Customer Success Leaders Answer 5 Important Questions About Customer Churn

Bob Hayes

Data science methods and related tools (i.g., Business professionals are relying heavily on the practice of data science to answer important questions to improve how they manage customer relationships. This proactive approach to customer churn necessarily relies on the analysis of data.

Data 103

The Most Important Skill in Data Science: Mining and Visualizing your Data

Bob Hayes

While data scientists have many resources in their tool belt, our research shows that proficiency with data mining and visualization tools consistently ranks as one of the most important skills in determining project success. We used two methods to rank data science skills.

Data 83

Why You Need to Adopt Data Science and Machine Learning in your Customer Experience/Success Program

Bob Hayes

A study of 80+ companies showed that analytical leading companies (those who use analytics to gain a competitive advantage), more so than analytical lagging companies, leverage their data differently. machine learning, data science, data integration, data platforms, in-depth studies).

Data 106

How Customer Data Platforms compare to other data management systems

BlueVenn

Our new eBook, A Marketer’s Guide to Customer Data Platforms , is here to clear up some of this confusion by delving into precisely what a Customer Data Platform (CDP) is and why it’s vital for marketers to recognize the differences between them and other forms of data solutions. Article Customer Data PlatformIt can be a relentless challenge trying to keep up with new technologies, not to mention all the acronyms and buzzwords that come along with them.

eBook 46

When Design Thinking Meets Data Science

West Monroe

In the world of big data and predictive analytics the standard approach for gathering and analyzing data follows the CRISP-DM approach. Once documented, a variety of sketching techniques could be used to provide context for the users regarding how the data space might be designed.

Data Science Skills and the Improbable Unicorn

Bob Hayes

The role of data and analytics in business continues to grow. To make sense of their plethora of data, businesses are looking to data scientists for help. Job site, indeed.com, shows a continued growth in "data scientist" positions. Assessing Proficiency in Data Skills.

Data 83

The rise and fall of big data hype—and what it means for customer intelligence

Vision Critical

The following is an excerpt from the e-book Big Data and Beyond. The big data hype is officially dead. In 2015, the analyst firm Gartner dropped big data from its Hype Cycle for Emerging Technologies report. The rise of big data. The big drawback of big data.

Data 180

Keeping Up with the Data Eruption

MaritzCX

7 Ways to Make Sure You’re Getting the Most of Your Unstructured Data with Text Analytics Today and Tomorrow Yesterday my 10-year-old daughter sent 43 text messages, posted 8 Musical.ly

Data 260

Keeping Up with the Data Eruption

MaritzCX

7 Ways to Make Sure You’re Getting the Most of Your Unstructured Data with Text Analytics Today and Tomorrow Yesterday my 10-year-old daughter sent 43 text messages, posted 8 Musical.ly

Data 260

Amity Announces New EU Data Center

Amity

The EU General Data Protection Regulation (GDPR) is said to be the most important change in data privacy regulation ever. The GDPR’s primary goal is to protect and empower all European Union citizens’ data privacy.

Data 105

The Beautiful Big Data

MaritzCX

What can Big Data mean for your Voice of Customer (VoC) software platform and program? Meeker’s 2014 edition has a section on Big Data where she lists the following six trends: View ArticleEach year, Mary Meeker, of the VC firm Kleiner Perkins Caufield Beyers, publishes a comprehensive and always interesting 100+ page deck on Internet Trends.

Data 200

How a Customer Data Platform makes data marketing more efficient

BlueVenn

A long-standing problem that marketers experience time and again is their lack of access to quality, usable data. This inability to utilize data at the time when it’s needed means that it's difficult to communicate the right message to the right customer at the right moment. And with your data spread over multiple silos, it’s an overwhelming challenge for marketers to wade through different pools of data to find the information they need.

Data 43

?Big Data – The Case for Customer Experience

MaritzCX

Big Data is back on the corporate agenda. exabytes of data were created every day; by 2014 this was 2.3 I say ‘back’, it never went away for the CIO, it’s just moving with the times, bumped along by changes in operating systems, user technologies and digital transformation. In 2013 IBM reported over 2.5 zettabytes. View Article

Data 232

Be warned: Is your data failing you?

Beyond Philosophy

CX Data platforms are growing in popularity by those that seek to improve their Customer Experiences. These platforms can provide data management intended to optimize the Customer Experience, not only at a general level but also at a personalized level. What is a CX Data Platform?

Data 137

How IBM is Transforming Data Science

Bob Hayes

I was invited by IBM as a guest to share some insights from the perspective of a data scientist. Data science is about extracting insights from data. The platform allows programmers to can get access to any of the data sets via an API to help them develop products.

Data 76

Insights Services Drive Data Commercialization

Forrester's Customer Insights

The new data economy isn't about data; it is about insights. A growing number of companies recognize the opportunity their data provides, and they take that data to market: 1/3 of firms report commercializing data or sharing it for revenue with partners or customers.

Data 48

State of Analytics In Customer Programs: Customer Loyalty Focus, Machine Learning Adoption and the Data Science Skill Gap

Bob Hayes

Customer professionals lack proficiency in, or access to, three important data science skills: programming, mathematics, statistics. Data were collected from January to March 2017. One way they are trying to get ahead is through the application of analytics on their data.

Data 128

Will omnichannel someday die out because of Big Data?

Customer Bliss

Omnichannel and the rapid scale of Big Data . megabytes of new data will be created for every person on the planet every second. If you do the full math on that, the total volume of data globally in 2020 might be around 44 zettabytes. Now we know the rapid scale of Big Data.

Utilizing Data Mining Services In Creating Effective Merchandising Strategies

Magellan Solutions

Data mining is one of the most powerful tools that every business needs today. It is the process of computing and analyzing large sets of data to get new ones and different patterns. It is not exactly what the term implies because many researchers have denied calling it “data mining”.

Data 63

Customer retention: 35 data-backed approaches

Customer Bliss

I talk often about customer experience , but recently I’ve heard from some followers that they’d like a bit more on customer retention. The first thing to understand about customer retention is that obviously it comes straight from customer experience.