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

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 55

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 25

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

Top 10 Skills in Data Science

Bob Hayes

The practice of data science requires skills that fall into three general areas: business acumen, computer technology/programming and statistics/math. Dave Holtz describes the data science skills you need to get a job as a data scientist ( 8 Skills You Need to Be a Data Scientist ).

Data 46

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 26

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 48

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.

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 93

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 49

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

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 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.

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

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

Drive More Impact From Data And Analytics With Insights Storytelling

Forrester's Customer Insights

Firms continue to invest in data, people, and technology, but in 2017, data and analytics pros reported basing fewer business decisions on data (45%) than in 2016 (49%). customer insights customer intelligence data insights analytics big data culture change insights-driven organizationWe said this a year ago, but alas, we have to say it again. There’s a big insights-to-actions gap out there.

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 44

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 43

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

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 30

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

The Data Digest: The Reasons Why Millennials Embrace Sharing

Forrester's Customer Insights

I would like to introduce myself as a new data researcher at Forrester Research. B2C marketing customer data data insights millennials UncategorizedBefore joining Forrester, I earned my Ph.D.

Data 18

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 49

Do you know where your data is?

SuiteCX

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

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

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 33

The Data Digest: Understand Emotion To Drive Technology Engagement

Forrester's Customer Insights

Thanks to the rise of empowered consumers, products and experiences that once seemed improbable, such as (literally) instant delivery, are now integral to our lives.

Data 23

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 31

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 49

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 26

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 55

Data Driven CX Improvements: A Retailer’s Must Have For A Successful 2018

Happy or Not

The 2017 trends in retail saw many changes and movements, such as the importance of the in-store experience, developing the omnichannel, the use of data, and merge of retail and technology. Blog CX CX improvement data Retail Retailer

What's My Data Worth?

Forrester's Customer Insights

I know I'm sitting on valuable data but I'm not sure just how valuable. When it comes to using the data internally to improve operational efficiency or service delivery, the resulting cost savings demonstrates the value. Or when using the data to identify new customer opportunities, either upsell to existing customers or identifying potential new customers, the resulting revenue generated demonstrates the value. But what if I want to take the data to market?

Data 17

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 42

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

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 30

China Unicom Monetizes Customer Behavior Data

Forrester's Customer Insights

China Unicom demonstrated its big data analytics platform, including customer analytics, during the Shanghai World Mobile Congress last week. Such data is unique and even more comprehensive than that generated by Internet service giants like Baidu, Alibaba, or Tencent. big data.

Data 31

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.,

5 Ways to Use VoC Data

StellaService

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.