INDUSTRY INSIGHTS YOUR PEERS ARE READING
This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? MORE
Leverage Channel Data To Give Partners A Better Experience: Winning In The Channel Requires Data-Driven Program Innovation Brands that provide an enhanced partner experience grow faster than their peers, are more profitable, and drive higher customer satisfaction and retention downstream. MORE
CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. The Challenge Is What To Do With The Data. Changes like “big data” often don’t happen all by themselves. The post Are You Ready For Big Data? MORE
Data and analytics leaders cannot master today’s opportunities and challenges of digital business using yesterday’s roles and organization design. Chief data officers (CDOs) consistently mention lack of relevant skills or staff as one of the top internal roadblocks to success. Data and analytics ranked first among tech-related skills that CEOs will need most. Algorithmic business is creating new responsibilities and roles for those managing data and analytics. MORE
Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work. MORE
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? This customer-centric, data-driven approach is what most organizations are driving toward with their digital transformation initiatives. MORE
In a post titled Data Mining – A Cautionary Tale , I share the idea that data mining can be dangerous by sharing the story of Cornell’s Brian Wansink, who has had multiple papers retracted due to various data mining methods that aren’t quite ethical (or even correct). MORE
age of the customer customer data customer experience customer experience management customer experience strategy customer insights customer journey analytics customer journey mapping data insights digital transformation Innovation digital strategy innovation insights-driven organization MORE
If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy. The truth is that once your model is built – that’s only half the battle won. MORE
A few days ago, I delivered a Forrester webinar on external data: why you need it, how best to find it, and how to effectively buy it. Take a look at the replay: WEBINAR: Think You’re Doing Data Sourcing Right? MORE
If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for. MORE
For those of you that might be new to data, keep this small (but extremely important) thing in mind – beware data mining. What is data mining? Data mining is the process of discovering information and patterns in data. irci’s initial review of the data. “I MORE
I remember a few years ago when, as enterprise architects, we sat around in the office of the VP of architecture and planned our data strategy on the whiteboard. Enterprise data model? The dreaded data governance plan? MORE
In turn, data and analytics become strategic priorities. Data and analytics are the key accelerant of an organization’s digitization and transformation efforts. Yet today, fewer than 50% of documented corporate strategies mention data and analytics as fundamental components for delivering enterprise value. Leading organizations in every industry are wielding data and analytics as competitive weapons. Amplify the data and analytics discussion. MORE
I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. Build a data lake (and utilize it). MORE
Want to be a data science rockstar? It isn’t being able to write AI algorithms from scratch or analyze terabytes of data in minutes. Why do I need to communicate to be a data science rockstar? Person 1: She’s been a data scientist for 4 years. MORE
The world has become a world of data. According to Domo , the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. That’s the data way. MORE
In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. Artificial Intelligence Big Data and Analytics News ai ai-first artificial intelligence Cognilytica data dataset machine learning structured Data Unstructured Data MORE
If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meet their regulatory requirements. MORE
Big data has moved from buzzword to being a part of everyday life within enterprise organizations. An IDG survey reports that 75% of enterprise organizations have deployed or plan to deploy big data projects. That’s where a Chief Data Officer (CDO) enters the picture. MORE
Paxata developed the first Adaptive Data Preparation™ platform built for the business analyst. With seamless connections to BI tools like Tableau, QlikView, and Excel, users can combine data on their own or work with peers in a shared, transparent environment as they shape data for analytics. MORE
That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business. By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs. MORE
How is your personal data impacting your decision to go on a date? The post How Is Data Affecting Your Dating Life? What algorithms do dating apps use to find your next match? How is AI affecting your dating life? Find out below. MORE
What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Data modeling has many different definitions and connotations. You don’t have a data strategy? MORE
Read why Naga Rayapati says that artificial intelligence needs data diversity on Forbes : Artificial intelligence (AI) algorithms are generally hungry for data, a trend which is accelerating. A new breed of AI approaches, called lifelong learning machines, are being designed to pull data continually and indefinitely. MORE
Cloud Ready Data Protection for Hybrid Data Centers Are In Your Future Join me for a free webinar Cloud Ready Data Protection for Hybrid Data Centers and Data Infrastructures 11AM PT Thursday July 11th produced by Redmond Magazine sponsored by Quest Software. MORE
It’s not hard to see the signs that the data economy is heating up. They mine their own data, yet increasingly they want incremental insights that drive further differentiation and competitive advantage. Virtually all decision makers want to be insights-driven. MORE
If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meat their regulatory requirements. artificial intelligence (AI) big data data governance data management digital business digital disruption digital intelligence machine learning ambient data governance CCPA data ops data stewardship GDPR regulatory compliance MORE
Architects can choose, and do, a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging and governing data is a different story. data management master data management metadata management cloud data catalog data governance data profiling hadoop lineage MORE
According to some estimates, data scientists spend as much as 80% of their time getting data in a format that can be used. As a practicing data scientist, I’d say that is a fairly accurate estimate in many organizations. 19% of time spent building and modeling data. MORE
Take a Look at Your Data , I discuss the importance of data quality and data management in an organization’s digital transformation efforts. What is data quality? … To be of high quality, data must be consistent and unambiguous. MORE
There’s a recurring assumption in discussions about internet of things (IoT) platforms: The platform providers make their money by mining insights from data loaded into their platform. MORE
I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques. MORE
While not as life-and-death as the above questions, data preparation is just as important to proper data analytics as learning the basics of driving before getting behind a wheel. Data preparation is important. The Importance of Data Preparation. MORE
Data Related Topics Forrester IT
JUNE 21, 2019
It’s not hard to see the signs that the data economy is heating up. They mine their own data, yet increasingly they want incremental insights that drive further differentiation and competitive advantage. Virtually all decision makers want to be insights-driven.
Datacponomy
JULY 18, 2019
If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for.
The Accidental Successful CIO
MAY 15, 2019
CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. The Challenge Is What To Do With The Data. Changes like “big data” often don’t happen all by themselves. The post Are You Ready For Big Data?
Forrester IT
JUNE 13, 2019
A few days ago, I delivered a Forrester webinar on external data: why you need it, how best to find it, and how to effectively buy it. Take a look at the replay: WEBINAR: Think You’re Doing Data Sourcing Right?
Eric D. Brown
JANUARY 15, 2019
In a post titled Data Mining – A Cautionary Tale , I share the idea that data mining can be dangerous by sharing the story of Cornell’s Brian Wansink, who has had multiple papers retracted due to various data mining methods that aren’t quite ethical (or even correct).
Eric D. Brown
JANUARY 3, 2019
For those of you that might be new to data, keep this small (but extremely important) thing in mind – beware data mining. What is data mining? Data mining is the process of discovering information and patterns in data. irci’s initial review of the data. “I
Forrester IT
NOVEMBER 19, 2018
I remember a few years ago when, as enterprise architects, we sat around in the office of the VP of architecture and planned our data strategy on the whiteboard. Enterprise data model? The dreaded data governance plan?
Eric D. Brown
NOVEMBER 1, 2018
Big data has moved from buzzword to being a part of everyday life within enterprise organizations. An IDG survey reports that 75% of enterprise organizations have deployed or plan to deploy big data projects. That’s where a Chief Data Officer (CDO) enters the picture.
Eric D. Brown
SEPTEMBER 18, 2017
Take a Look at Your Data , I discuss the importance of data quality and data management in an organization’s digital transformation efforts. What is data quality? … To be of high quality, data must be consistent and unambiguous.
Speaker: Robert Starmer, Cloud Advisor, Founding Partner at Kumulus Technologies
Trace Data - Visualizing application traces to understand application interactions. Moving to micro-services, or even working with distributed applications in a traditional environment, brings with it a host of interactions that are often difficult to understand.
Eric D. Brown
FEBRUARY 5, 2018
I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. Build a data lake (and utilize it).
CTOvision
MARCH 12, 2019
In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. Artificial Intelligence Big Data and Analytics News ai ai-first artificial intelligence Cognilytica data dataset machine learning structured Data Unstructured Data
Forrester IT
NOVEMBER 5, 2018
There’s a recurring assumption in discussions about internet of things (IoT) platforms: The platform providers make their money by mining insights from data loaded into their platform.
CTOvision
OCTOBER 26, 2015
I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques.
Forrester IT
FEBRUARY 6, 2019
If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meet their regulatory requirements.
Eric D. Brown
JULY 26, 2016
While not as life-and-death as the above questions, data preparation is just as important to proper data analytics as learning the basics of driving before getting behind a wheel. Data preparation is important. The Importance of Data Preparation.
CEB IT
FEBRUARY 5, 2019
That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business. By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs.
Forrester IT
JANUARY 11, 2019
Leverage Channel Data To Give Partners A Better Experience: Winning In The Channel Requires Data-Driven Program Innovation Brands that provide an enhanced partner experience grow faster than their peers, are more profitable, and drive higher customer satisfaction and retention downstream.
Eric D. Brown
JANUARY 7, 2019
Want to be a data science rockstar? It isn’t being able to write AI algorithms from scratch or analyze terabytes of data in minutes. Why do I need to communicate to be a data science rockstar? Person 1: She’s been a data scientist for 4 years.
CEB IT
JANUARY 24, 2019
Data and analytics leaders cannot master today’s opportunities and challenges of digital business using yesterday’s roles and organization design. Chief data officers (CDOs) consistently mention lack of relevant skills or staff as one of the top internal roadblocks to success. Data and analytics ranked first among tech-related skills that CEOs will need most. Algorithmic business is creating new responsibilities and roles for those managing data and analytics.
CEB IT
MARCH 7, 2019
In turn, data and analytics become strategic priorities. Data and analytics are the key accelerant of an organization’s digitization and transformation efforts. Yet today, fewer than 50% of documented corporate strategies mention data and analytics as fundamental components for delivering enterprise value. Leading organizations in every industry are wielding data and analytics as competitive weapons. Amplify the data and analytics discussion.
Eric D. Brown
AUGUST 10, 2016
What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Data modeling has many different definitions and connotations. You don’t have a data strategy?
Datacponomy
JANUARY 24, 2019
Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work.
Datacponomy
JULY 10, 2019
How is your personal data impacting your decision to go on a date? The post How Is Data Affecting Your Dating Life? What algorithms do dating apps use to find your next match? How is AI affecting your dating life? Find out below.
Forrester IT
APRIL 2, 2019
Architects can choose, and do, a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging and governing data is a different story. data management master data management metadata management cloud data catalog data governance data profiling hadoop lineage
CTOvision
MAY 14, 2019
Read why Naga Rayapati says that artificial intelligence needs data diversity on Forbes : Artificial intelligence (AI) algorithms are generally hungry for data, a trend which is accelerating. A new breed of AI approaches, called lifelong learning machines, are being designed to pull data continually and indefinitely.
Forrester IT
JUNE 25, 2019
age of the customer customer data customer experience customer experience management customer experience strategy customer insights customer journey analytics customer journey mapping data insights digital transformation Innovation digital strategy innovation insights-driven organization
CTOvision
JULY 26, 2015
Paxata developed the first Adaptive Data Preparation™ platform built for the business analyst. With seamless connections to BI tools like Tableau, QlikView, and Excel, users can combine data on their own or work with peers in a shared, transparent environment as they shape data for analytics.
Eric D. Brown
NOVEMBER 6, 2018
According to some estimates, data scientists spend as much as 80% of their time getting data in a format that can be used. As a practicing data scientist, I’d say that is a fairly accurate estimate in many organizations. 19% of time spent building and modeling data.
Eric D. Brown
OCTOBER 23, 2018
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? This customer-centric, data-driven approach is what most organizations are driving toward with their digital transformation initiatives.
Eric D. Brown
OCTOBER 3, 2017
The world has become a world of data. According to Domo , the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. That’s the data way.
Storage IO Blog
JUNE 23, 2019
Cloud Ready Data Protection for Hybrid Data Centers Are In Your Future Join me for a free webinar Cloud Ready Data Protection for Hybrid Data Centers and Data Infrastructures 11AM PT Thursday July 11th produced by Redmond Magazine sponsored by Quest Software.
Forrester IT
FEBRUARY 6, 2019
If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meat their regulatory requirements. artificial intelligence (AI) big data data governance data management digital business digital disruption digital intelligence machine learning ambient data governance CCPA data ops data stewardship GDPR regulatory compliance
Datacponomy
FEBRUARY 13, 2019
If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy. The truth is that once your model is built – that’s only half the battle won.
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