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 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 MORE
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. MORE
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. MORE
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. MORE
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. MORE
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 MORE
What is big data? Big data" has been defined in many different ways and seems to most often refer to the sheer volume of data, but for the purpose of this article, I''m going to refer to the data sources. To do that, we must have the right data at our fingertips. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
What kind of a data scientist are you? Take the free Data Skills Scoring System Survey at [link]. Data science skills. Companies rely on experts who can make sense of their data. Complementary Data Skills Required. Data Skills Scoring System (DS3). MORE
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. . MORE
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. MORE
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. MORE
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. MORE
Customer data is just at the tips of your fingers. A proper understanding of data and personalization strategies can help you create a successful customer support. Data analytics can show you what web pages your customer looked at and what search terms they used. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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., MORE
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? MORE
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. MORE
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? MORE
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. MORE
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? MORE
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). MORE
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. MORE
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. MORE
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? MORE
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.) MORE
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 MORE
Data is available in abundance these days. There are a ton of statistics out there about the volume of data we see today vs. just a few years ago, but I think we can all agree that there's a lot of it! Companies are sitting on a goldmine of data. MORE
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. MORE
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. MORE
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? MORE
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. MORE
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. MORE
In the world of SaaS, there certainly isn't a lack of data. In order to activate and leverage customer data for success, you need to start not only by collecting data but by collecting the right data. MORE
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 ). MORE
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. MORE
Data Related Topics Customer Bliss
JUNE 1, 2017
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
Bob Hayes
FEBRUARY 15, 2016
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.
Forrester's Customer Insights
JUNE 22, 2017
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.
CX Journey
MAY 2, 2017
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.
Bob Hayes
SEPTEMBER 23, 2015
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. .
Bob Hayes
OCTOBER 12, 2015
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.
Forrester's Customer Insights
FEBRUARY 3, 2017
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?
Vision Critical
JULY 28, 2016
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.
Bob Hayes
NOVEMBER 16, 2015
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.
Bob Hayes
MARCH 14, 2016
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.
Customer Bliss
JUNE 23, 2016
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.
Sunil Panikker
JUNE 23, 2015
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?
Bob Hayes
JANUARY 11, 2016
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).
Bob Hayes
NOVEMBER 30, 2015
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.
Bob Hayes
FEBRUARY 1, 2016
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.
Bob Hayes
OCTOBER 23, 2015
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.
Forrester's Customer Insights
OCTOBER 11, 2016
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?
MaritzCX
AUGUST 9, 2016
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
Forrester's Customer Insights
MARCH 8, 2017
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.
Calabrio
MAY 3, 2016
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.
MaritzCX
JUNE 8, 2016
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 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
Forrester's Customer Insights
JULY 20, 2015
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.
Bob Hayes
DECEMBER 7, 2015
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.
Beyond Philosophy
MAY 17, 2017
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?
Bob Hayes
JANUARY 25, 2016
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.
Bob Hayes
DECEMBER 14, 2015
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.
Bob Hayes
MARCH 28, 2015
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.
Bob Hayes
FEBRUARY 24, 2016
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.
SuiteCX
JANUARY 16, 2017
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?
Bob Hayes
FEBRUARY 29, 2016
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.)
MaritzCX
NOVEMBER 4, 2015
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.
Bob Hayes
JANUARY 18, 2016
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.
Customer Bliss
APRIL 27, 2017
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.
Bob Hayes
MAY 4, 2015
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.,
Amity
FEBRUARY 22, 2017
In the world of SaaS, there certainly isn't a lack of data. In order to activate and leverage customer data for success, you need to start not only by collecting data but by collecting the right data.
CX Journey
JANUARY 11, 2017
Data is available in abundance these days. There are a ton of statistics out there about the volume of data we see today vs. just a few years ago, but I think we can all agree that there's a lot of it! Companies are sitting on a goldmine of data.
Merlin
JUNE 22, 2017
Customer data is just at the tips of your fingers. A proper understanding of data and personalization strategies can help you create a successful customer support. Data analytics can show you what web pages your customer looked at and what search terms they used.
inContact
JULY 12, 2016
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.
Beyond Philosophy
SEPTEMBER 28, 2016
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.
Bob Hayes
AUGUST 31, 2015
What kind of a data scientist are you? Take the free Data Skills Scoring System Survey at [link]. Data science skills. Companies rely on experts who can make sense of their data. Complementary Data Skills Required. Data Skills Scoring System (DS3).
INDUSTRY INSIGHTS YOUR PEERS ARE READING
59 
Let's personalize your content