INDUSTRY INSIGHTS YOUR PEERS ARE READING
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
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
billion humans use the internet, and the global mobile data traffic is projected to increase nearly sevenfold between 2016 and 2021. million terabytes of data is generated in the US annually just by smartphone users alone. Mobile digital media time in the US is significantly higher compared to desktop, according to the data from e-marketer and KPCB. 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
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
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
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
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
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
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
Building on their previous research that showed consumers often take little action when facing security breaches, researchers analyzed the data breach notifications companies sent to consumers to see if the communications might be responsible for some of the inaction. MORE
Despite having less trust in brands to use their data ethically, millennials are more willing to provide companies with information in exchange for convenience and personalized experiences, according to a recent Gartner survey. The privacy paradox sets up potential conflict between data and analytics leaders, customer experience (CX) leaders, marketing leaders, security and risk leaders, and other business and IT stakeholders. 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
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
Although there are lots of similarities across Software Development and Data Science , they also have three main differences: processes, tooling and behavior. The post What is the real difference between Data Science and Software Engineering Teams? MORE
The advent of the emerging sector of Big Data has brought with it the promise of highly scalable databases to handle terabytes of data at a time. The post Distributed Data Caching Using Big Data appeared first on Dataconomy. Big Data Contributors Featured MORE
customer experience security & risk biometrics Compliance data Security & Risk 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
And what is needed depends on whether the business has done any data integrations with sensors before, the volumes and types of data being collected, and whether the business opportunities around IoT are customer facing. MORE
Data Related Topics 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?
Kitaboo
MAY 7, 2019
billion humans use the internet, and the global mobile data traffic is projected to increase nearly sevenfold between 2016 and 2021. million terabytes of data is generated in the US annually just by smartphone users alone. Mobile digital media time in the US is significantly higher compared to desktop, according to the data from e-marketer and KPCB.
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?
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
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.
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.
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.
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.
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).
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
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
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.
Datacponomy
APRIL 18, 2019
The advent of the emerging sector of Big Data has brought with it the promise of highly scalable databases to handle terabytes of data at a time. The post Distributed Data Caching Using Big Data appeared first on Dataconomy. Big Data Contributors Featured
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
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
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
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.
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
Social, Agile and Transformation
MAY 13, 2019
And what is needed depends on whether the business has done any data integrations with sensors before, the volumes and types of data being collected, and whether the business opportunities around IoT are customer facing.
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
MAY 2, 2019
customer experience security & risk biometrics Compliance data Security & Risk
CEB IT
APRIL 8, 2019
Despite having less trust in brands to use their data ethically, millennials are more willing to provide companies with information in exchange for convenience and personalized experiences, according to a recent Gartner survey. The privacy paradox sets up potential conflict between data and analytics leaders, customer experience (CX) leaders, marketing leaders, security and risk leaders, and other business and IT stakeholders.
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
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.
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.
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?
Datacponomy
MAY 16, 2019
Although there are lots of similarities across Software Development and Data Science , they also have three main differences: processes, tooling and behavior. The post What is the real difference between Data Science and Software Engineering Teams?
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?
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
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.
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
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.
CTOvision
MAY 22, 2019
Building on their previous research that showed consumers often take little action when facing security breaches, researchers analyzed the data breach notifications companies sent to consumers to see if the communications might be responsible for some of the inaction.
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