INDUSTRY INSIGHTS YOUR PEERS ARE READING
PMUs generate huge amounts of data that help […]. Big Data and Analytics CTO NewsRead Zayan Guedim explain how a new hybrid system combines classical machine learning techniques with quantum computation to optimize the management of the power grid on Edgylabs blog : Strategically deployed across the grid, Phasor Measurement Units (PMUs) are sensor devices that measure currents and voltages at a particular time. 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
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
In Understanding data ownership in the data lake Elizabeth Koumpan, Executive Architect at IBM, writes: Depending on the organizational point of view, different ownership rules may apply in different situations to data. It is a tricky part when we deal with Data ownership while using external sources, especially if we use social data which is an essential element, as we build our cases for front office digitization, customer sensitive analysis and so on. 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
automotive brand experience consumer mobility customer experience ecosystem data management platforms (DMPs) mobile application platforms customer experience digital business digital transformation 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
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
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
Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. data management 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? Utilizing proper data management and the data lake concept , companies can begin to build much broader viewpoints into their customer base. MORE
I’m getting more and more psyched about our first-ever Data Strategy & Insights 2018 Forum as I work on the sessions with my colleagues here at Forrester and with our external speakers. The topics are spot on for what organizations need from data and analytics today, and the sessions are going to be inspirational and […]. 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
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
Big Data and high performance computing (HPC) are on a collision course – from machine learning to business intelligence, the combined power of clustered servers, advanced networking and massive datasets are merging, and a new Big Data reality is on the rise. Big Data News MORE
In particular, there has been a significant increase in demand for data scientists. Companies are searching and competing for increasingly scarce data scientists as the […]. Artificial Intelligence Big Data and Analytics Cloud Computing CTO artificial intelligence big data data data engineer data scientist Enterprise MORE
I don't like the term 'data governance'. Why would anyone want to back a governance initiative especially one tied to data? But anyone leading data efforts knows data governance is a long. big data cio data management data scientist securityPeople - and especially leaders don't know what it means and often put up mental walls whenever they hear the word 'governance'. Governance is bureaucratic. It slows organizations down and creates tension. 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
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
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
One of the perennial problems of data centers is monitoring server utilization to ensure right-sizing of resources. There is even a tool to help you understand where to place new hardware in the data center based on available space, power, and cooling, to help avoid hot spots and power issues. MORE
Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process the data into data lakes, data hubs, data warehouses, and data marts; and build business intelligence (BI) and analytics applications to understand what the data is telling […]. MORE
The success of data-driven projects has quite a few challenges and barriers. Data has become probably the most valuable asset that companies could have nowadays. The post Three questions you need to answer to succeed in data-driven projects appeared first on Dataconomy. MORE
Today, business users need trusted data fast to make better business decisions, while BT wants to lower costs, minimize complexity, and improve efficiency. In addition, the proliferation of data, and explosion of new data sources such as social media, IoT and mobile further aggravates the issue. Poorly integrated business data often leads to poor business […]. 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
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
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
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself. 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 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).
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?
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 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
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Use data from your previous hires to find out where your. want to help people too and free HR up from data- entry so you can focus on what you love doing— helping people. to pull data, put it in a report, then offer it up. sad part is we’re still not 100 percent sure the 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.
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.
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
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
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).
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
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.
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.
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.
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
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).
Forrester IT
NOVEMBER 14, 2018
Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process the data into data lakes, data hubs, data warehouses, and data marts; and build business intelligence (BI) and analytics applications to understand what the data is telling […].
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
NOVEMBER 13, 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? Utilizing proper data management and the data lake concept , companies can begin to build much broader viewpoints into their customer base.
Forrester IT
SEPTEMBER 19, 2018
Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. data management
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.
CTOvision
NOVEMBER 6, 2018
PMUs generate huge amounts of data that help […]. Big Data and Analytics CTO NewsRead Zayan Guedim explain how a new hybrid system combines classical machine learning techniques with quantum computation to optimize the management of the power grid on Edgylabs blog : Strategically deployed across the grid, Phasor Measurement Units (PMUs) are sensor devices that measure currents and voltages at a particular time.
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.
Social, Agile and Transformation
JULY 30, 2018
I don't like the term 'data governance'. Why would anyone want to back a governance initiative especially one tied to data? But anyone leading data efforts knows data governance is a long. big data cio data management data scientist securityPeople - and especially leaders don't know what it means and often put up mental walls whenever they hear the word 'governance'. Governance is bureaucratic. It slows organizations down and creates tension.
Forrester IT
NOVEMBER 15, 2018
Today, business users need trusted data fast to make better business decisions, while BT wants to lower costs, minimize complexity, and improve efficiency. In addition, the proliferation of data, and explosion of new data sources such as social media, IoT and mobile further aggravates the issue. Poorly integrated business data often leads to poor business […].
Eric D. Brown
OCTOBER 9, 2018
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself.
Forrester IT
OCTOBER 24, 2018
I’m getting more and more psyched about our first-ever Data Strategy & Insights 2018 Forum as I work on the sessions with my colleagues here at Forrester and with our external speakers. The topics are spot on for what organizations need from data and analytics today, and the sessions are going to be inspirational and […].
Forrester IT
DECEMBER 5, 2018
automotive brand experience consumer mobility customer experience ecosystem data management platforms (DMPs) mobile application platforms customer experience digital business digital transformation
CTOvision
FEBRUARY 16, 2017
In Understanding data ownership in the data lake Elizabeth Koumpan, Executive Architect at IBM, writes: Depending on the organizational point of view, different ownership rules may apply in different situations to data. It is a tricky part when we deal with Data ownership while using external sources, especially if we use social data which is an essential element, as we build our cases for front office digitization, customer sensitive analysis and so on.
CTOvision
APRIL 27, 2018
In particular, there has been a significant increase in demand for data scientists. Companies are searching and competing for increasingly scarce data scientists as the […]. Artificial Intelligence Big Data and Analytics Cloud Computing CTO artificial intelligence big data data data engineer data scientist Enterprise
Datacponomy
OCTOBER 23, 2018
The success of data-driven projects has quite a few challenges and barriers. Data has become probably the most valuable asset that companies could have nowadays. The post Three questions you need to answer to succeed in data-driven projects appeared first on Dataconomy.
CTOvision
SEPTEMBER 29, 2016
Big Data and high performance computing (HPC) are on a collision course – from machine learning to business intelligence, the combined power of clustered servers, advanced networking and massive datasets are merging, and a new Big Data reality is on the rise. Big Data News
CTOvision
JUNE 30, 2016
One of the perennial problems of data centers is monitoring server utilization to ensure right-sizing of resources. There is even a tool to help you understand where to place new hardware in the data center based on available space, power, and cooling, to help avoid hot spots and power issues.
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