INDUSTRY INSIGHTS YOUR PEERS ARE READING
Data and analytics can deliver profound benefits to midsize enterprises (MSEs), and are becoming critical for differentiation and even long-term survival. To cope with the innovation and change impacts of these projects, leading MSEs are preparing for expanded data science capabilities by drawing on new and simplifying technologies. Read more: A Data and Analytics Leader’s Guide to Data Literacy. Traditionally, midsize teams view data in a few discrete platforms. 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
Much of the value of machine learning projects rest in the models, training data, and configuration information that guides how the model is applied to the specific machine learning […]. Artificial Intelligence News ai artificial intelligence Cognilytica data machine learning methodologies ML training MORE
Chief data officers (CDOs) are responsible for a broad agenda that spans data management, analytics, data science, ethics and digital transformation. T hey are impactful change agents leading the data-driven transformation of their organizations. 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
The hype around big data got several things right: data volumes are big and growing quickly. Digital transformation – as well as the growing adoption of IoT and the ubiquity of the device (aka “mobile phone”) that we all carry with us – has accelerated the growth of data. MORE
Here is how Big Data can help you in your growth strategies in ecommerce Ecommerce is taking a bigger slice of the global retail pie. The post Data’s Growing Role in Scalable Ecommerce? MORE
Data governance is good for you, they said. Data governance de-risks your business, they said. Data should be owned by the business, they said. It’s my guess that data governance is not, quite, working for you. How’s that working for you? 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
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
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
Today, half of the respondents in Forrester’s Business Technographics® survey data report that their organizations have a chief data officer (CDO). analytics leadership CAO CDO data leadership insights-driven organizationHow do you create an insights-driven organization? 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
B2B marketing data provider DiscoverOrg announced on February 4th that the company is buying ZoomInfo. ZoomInfo has successfully leveraged its traditional strength as contact data specialist to build out a comprehensive data-as-a-service platform that now […]. 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
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
Everyone is talking about the citizen data scientist, but no one can define it (perhaps they know one when they see one). Here goes — the simplest definition of a citizen data scientist is: non-data scientist. That’s not a pejorative; it just means that citizen data scientists nobly desire to do data science but are [… MORE
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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
Often times, the journey to data driven business transformation can not only be challenging, but also confusing. The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. Mapping Big Data (oreilly.com). 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
Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. MORE
Sponsoring self-service BI where business users are empowered to develop their own dashboards and instrumenting data governance are not conflicting objectives. In fact, they are complementary and both are necessary to enable data driven organizations. Try to count how many duplicate data sources are. agile data big data citizen development data management data scientist it management organizational change MORE
Here's my synopsis on a great start to day 2 of Strata Data day two. It began with a series of thought provoking topics; eliminating noise; driving faster data; successful data science by becoming boring; and Eliminating Noise and AI for Compliance Amber Case of the MIT Media Lab talked about the noise, and the abundance of alerts that surround all of us. agile data AI big data cio data management data scientist digital transformation MORE
about me agile data big data cio citizen development cloud computing data management data scientist organizational change SaaSOne of the more polarizing discussions I've had with IT leaders on Twitter chats #IdgTechTalk (Thursdays 12pm ET), #CIOChat (Thursdays at 2pm ET) or at conferences is around the use or misuse of spreadsheets. 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
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
She used a data story to successfully argue the need for better sanitary conditions and saved the lives of countless soldiers. Data stories explore and explain how and why data changes over time, usually through a series of linked visualizations. The story and outcome are dramatic, but at its heart, this is a data story. It contains data points on time, location, volume, trend, significance and proportion. Data stories are about engagement. 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
Big Data and AI can help with the growing care provider shortage. The post Can Big Data Help Provide Affordable Healthcare? Here is how and why. MORE
Data Related Topics 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 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?
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.
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.
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.
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.
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.
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.
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.
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
MARCH 7, 2019
Today, half of the respondents in Forrester’s Business Technographics® survey data report that their organizations have a chief data officer (CDO). analytics leadership CAO CDO data leadership insights-driven organizationHow do you create an insights-driven organization?
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.
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.
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.
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.
Social, Agile and Transformation
MARCH 25, 2019
Sponsoring self-service BI where business users are empowered to develop their own dashboards and instrumenting data governance are not conflicting objectives. In fact, they are complementary and both are necessary to enable data driven organizations. Try to count how many duplicate data sources are. agile data big data citizen development data management data scientist it management organizational change
CEB IT
NOVEMBER 20, 2018
Chief data officers (CDOs) are responsible for a broad agenda that spans data management, analytics, data science, ethics and digital transformation. T hey are impactful change agents leading the data-driven transformation of their organizations.
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.
Forrester IT
NOVEMBER 6, 2018
The hype around big data got several things right: data volumes are big and growing quickly. Digital transformation – as well as the growing adoption of IoT and the ubiquity of the device (aka “mobile phone”) that we all carry with us – has accelerated the growth of data.
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).
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.
Forrester IT
FEBRUARY 5, 2019
B2B marketing data provider DiscoverOrg announced on February 4th that the company is buying ZoomInfo. ZoomInfo has successfully leveraged its traditional strength as contact data specialist to build out a comprehensive data-as-a-service platform that now […].
CEB IT
DECEMBER 20, 2018
She used a data story to successfully argue the need for better sanitary conditions and saved the lives of countless soldiers. Data stories explore and explain how and why data changes over time, usually through a series of linked visualizations. The story and outcome are dramatic, but at its heart, this is a data story. It contains data points on time, location, volume, trend, significance and proportion. Data stories are about engagement.
Datacponomy
FEBRUARY 6, 2019
Big Data and AI can help with the growing care provider shortage. The post Can Big Data Help Provide Affordable Healthcare? Here is how and why.
Datacponomy
NOVEMBER 8, 2018
Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises.
Forrester IT
OCTOBER 18, 2018
Data governance is good for you, they said. Data governance de-risks your business, they said. Data should be owned by the business, they said. It’s my guess that data governance is not, quite, working for you. How’s that working for you?
CTOvision
OCTOBER 6, 2015
Often times, the journey to data driven business transformation can not only be challenging, but also confusing. The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. Mapping Big Data (oreilly.com).
Datacponomy
MARCH 14, 2019
Here is how Big Data can help you in your growth strategies in ecommerce Ecommerce is taking a bigger slice of the global retail pie. The post Data’s Growing Role in Scalable Ecommerce?
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
MARCH 21, 2019
Data and analytics can deliver profound benefits to midsize enterprises (MSEs), and are becoming critical for differentiation and even long-term survival. To cope with the innovation and change impacts of these projects, leading MSEs are preparing for expanded data science capabilities by drawing on new and simplifying technologies. Read more: A Data and Analytics Leader’s Guide to Data Literacy. Traditionally, midsize teams view data in a few discrete platforms.
CTOvision
FEBRUARY 26, 2019
Much of the value of machine learning projects rest in the models, training data, and configuration information that guides how the model is applied to the specific machine learning […]. Artificial Intelligence News ai artificial intelligence Cognilytica data machine learning methodologies ML training
Forrester IT
FEBRUARY 8, 2019
Everyone is talking about the citizen data scientist, but no one can define it (perhaps they know one when they see one). Here goes — the simplest definition of a citizen data scientist is: non-data scientist. That’s not a pejorative; it just means that citizen data scientists nobly desire to do data science but are […
Social, Agile and Transformation
JANUARY 21, 2019
about me agile data big data cio citizen development cloud computing data management data scientist organizational change SaaSOne of the more polarizing discussions I've had with IT leaders on Twitter chats #IdgTechTalk (Thursdays 12pm ET), #CIOChat (Thursdays at 2pm ET) or at conferences is around the use or misuse of spreadsheets.
Social, Agile and Transformation
SEPTEMBER 13, 2018
Here's my synopsis on a great start to day 2 of Strata Data day two. It began with a series of thought provoking topics; eliminating noise; driving faster data; successful data science by becoming boring; and Eliminating Noise and AI for Compliance Amber Case of the MIT Media Lab talked about the noise, and the abundance of alerts that surround all of us. agile data AI big data cio data management data scientist digital transformation
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