Data Engineers Will Be More Important Than Data Scientists

Forrester's Customer Insights

Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500K+ per year for a Data Scientist worth it? What is a data scientist anyway? big data data management data quality & data governance analytics chief data officer data development data engineer data governance data lake data scientist

Data 23

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 91

Trending Sources

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 54

Investigating Data Scientists, their Skills and Team Makeup

Bob Hayes

A new survey of 490 data professionals from small to large companies, conducted by AnalyticsWeek in partnership with Business Over Broadway, provides a look into the field of data science. Download the free Executive Summary of the report, Optimizing your Data Science Teams. .

Data 62

7 Secrets of Voice of the Customer Success Whitepaper

data collection and. 34 5 6 7 2 1 Build executive support Strategize and plan Get organized Lose the silos Communicate Add Voice of the. Employee Act fast and innovate Why then, is every business not running a slick and successful VoC program?

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,, shows a continued growth in "data scientist" positions. Assessing Proficiency in Data Skills.

Data 47

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 44

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 92

Making Sense of Unstructured Data with Text Analytics


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 Scientists and the Practice of Data Science

Bob Hayes

I was recently involved in a couple of panel discussions on what it means to be a data scientist and the practice of data science. Moderated by Brian Fanzo , the panel included me and these data experts: Andrew C. Oliver , President of Mammoth Data.

Data 40

When Does Education Level Matter in Data Science?

Bob Hayes

Data scientists are highly educated. In our study of data scientists, we found that over half of them, both men and women , hold either a Masters or PhD degree and about a quarter of them hold a 4-year degree. Data scientists have the hottest jobs in America this year.

Data 48

3 Ways Integrated Analytics Can Solve Your Data Nightmare


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 69

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.

Data Commercializers Do It Differently: It’s Best To Be Prepared

Forrester's Customer Insights

We know that the data economy is going to be huge. Data fuels innovation, and having that unique data point (or “alt data”) brings incremental value and competitive advantage. Demand for data is exploding.

Big Data: Is Customer Service Ready for It?

Sunil Panikker

3 Steps to Prepare Customer Service for Big Data A very interesting blog post by Bernard Marr demystifying big data defines its essence and explains the extensive global influence and boundless benefits that can be derived. Is customer service ready for big data?

Data 68

10 Data Science Skills You Need to Improve Project Success

Bob Hayes

Last week, I identified the top skills across different data science professionals. For example, the top two skills were communication and managing structured data while the bottom two skills were big and distributed data and cloud management. S - Data Management (.33).

Data 42

Skill-Based Approach to Improve the Practice of Data Science

Bob Hayes

Our Big Data world requires the application of data science principles by data professionals. I've recently taken a look at what it means to practice data science as a data scientist. Substandard Proficiency in Data Skills. Data Mining. Data Mining.

Data 42

Do you know where your data is?


One of the biggest challenges CX practitioners face is uncovering actionable data that will help improve the customer experience. Often company structure and culture play a big role in determining how hard/easy it is to dig out the data. So where are the data sources?

CEM 77

Why Data Science Needs Subject Matter Expertise: Data Have Meaning

Bob Hayes

In our Big Data world , we are awash in data. Volume, Velocity and Variety) represent significant hurdles to businesses in their race to extract value from their data. The Meaning of Your Data. Data are more than a string of numbers. Ensuring your data represents something meaningful to your business is essential to finding value from your data. The meaning of numbers is about the veracity of your data.

Data 28

Help Wanted: Data Innovation For The Data Economy

Forrester's Customer Insights

Today (many of) those “ideas” are data and the insights derived from them, and it remains true that their value is in how they are used. Simply put, data + use = value. Insights-driven companies use these data-derived insights in […].

Data 16

Getting Insights Using Data Science Skills and the Scientific Method

Bob Hayes

The event will, no doubt, help companies understand how to use analytics to get insight from their data. As a first step in sharing my knowledge about how to get insight from data, IBM asked me what I thought about the role of the data scientist in the Insight Economy.

Data 48

?Big Data – The Case for Customer Experience


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 58

Improving Gender Diversity in Data Science

Bob Hayes

Results of a survey of data professionals show that about 1 out of 4 data scientists are women. Both women and men have similar levels of education and proficiency in data science skills. Ways of improving gender diversity in the field of data science are offered.

Data 32

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).

The Data Economy Is Going To Be Huge. Believe Me.

Forrester's Customer Insights

I've just finished reading the recent Communication on Building a European Data Economy published by the European Commission. I'm in the thick of my research for a new report on data commercialization. big data. data economy. Are they serious?

Data 45

Keeping Up with the Data Eruption


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 videos, and put up two new Instagram posts. And given the fact she spent 8 hours at school and 4 hours at gymnastics practice, that. View Article

Video 59

Getting More Insights from Data: Nine Facts about the Practice of Data Science

Bob Hayes

The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means to be a data scientist. Facts about Data Science.

Data 30

Making Sense of Our Big Data World: Samples, Populations and Sampling Error

Bob Hayes

As part of my series on Making Sense of Our Big Data World, today's post is on sampling error. See the overview, Making Sense of Our Big Data World: Statistics for the 99% , to understand the importance and value of understanding statistics and statistical thinking.

Data 48

Move Big Data To The Public Cloud With An Insight PaaS

Forrester's Customer Insights

In five years you’ll be using Insight PaaS for big data in the public cloud. Cloud Is The Hottest Market For Big Data Technology The shift to the cloud for big data is on. In fact, global spending on big data solutions via cloud subscriptions will grow […].

Data 43

Statistics: Is This Big Data’s Biggest Hurdle?

Bob Hayes

Big Data is less about the data itself and more about what you do with the data. The application of statistics and statistical principles on the data helps you extract the information it contains. We have a lot of data and are generating a lot more of it.

Data 54

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 24

Maximizing the Impact of Data Science Using the Scientific Method

Bob Hayes

We live in a Big Data world where everything is being quantified. As a result, businesses are trying to make sense of their ever-expanding, diverse, streaming data sources to drive their business forward. If your competitors have access to the same type of data (CRM, ERP, weather, etc.)

Data 29

Video Is Now Big Data, Too


Reading Time: 2 minutes If you’re like most, the phrase “big data” probably conjures up thoughts of giant databases being flooded with torrents of real-time data such as all the purchases in a grocery store chain or all the Web searches in the past 24 hours.

Video 22

Four Ways Big Data Can Improve Customer Surveys

Bob Hayes

Big Data. They provide the data that fuel the customer experience analytics that generate the customer insights to drive the business forward. In this new Big Data world , however, it’s clear that businesses are now able to use different sources of data (e.g.,

The Age of Alt: Data Commercialization Brings Alternative Data To Market

Forrester's Customer Insights

They're looking for alternative data - or "alt-data.". We know that business leaders want to better leverage data and analytics in their decision-making. Demand for data is exploding. Fortunately, the supply of data is booming as well. big data. data economy.

Data 20

The Data Privacy Challenge – Is Your CX Program Ready?


On the other hand, personal data and data-protection regulations are becoming more restrictive. Two very divergent trends are coming to a head, which could potentially change the way the industry does business.

Empirically-Based Approach to Understanding the Structure of Data Science

Bob Hayes

Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics. 25 Data Science Skills Assessed in the Data Science Survey.

5 Ways to Use VoC Data


Voice of Customer Data: Are You Making the Most of Your Investment? Many brands invest a lot of time, money, and energy designing and executing a VoC data collection program. shelve the data. Voice of Customer Data Can (and Should) Be Used Across Your Organization.

Another serious player entering the Data Governance 2.0 market

Forrester's Customer Insights

erwin, the very well known data modeling vendor separated from CA in 2016, is announcing a data governance module in addition to their existing suite of Data modeling, Enterprise Architecture and Business Process modeling The first release of the data governance is benefiting of the strong metadata repository acquired from Corso and is delivering business […].

Sell the Value of Data Insights to the C-Suite


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.