The Data Mining Trap

Eric D. Brown

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).

Is Your Data Strategy Ready To Keep Up?

Forrester IT

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?

Channel Data Is A Competitive Differentiator

Forrester IT

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.

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Data Mining – A Cautionary Tale

Eric D. Brown

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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INCORRECT - PDF - 13 Tips for Small Business to Recruit and Retain Great Talent

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.

IoT Platforms Do Not Steal Customer Data

Forrester IT

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.

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Big Data Project Management: Data Must Flow!

CTOvision

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.

You Need a Chief Data Officer. Here’s Why.

Eric D. Brown

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.

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Use Data and Analytics to Tell a Story

CEB IT

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.

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Kubernetes Meets Big Data

Datacponomy

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.

Data commercialization isn’t easy – and many initiatives will fail.

Forrester IT

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.

Big Data Roadmap – A roadmap for success with big data

Eric D. Brown

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).

Data Strategy and Insights Forum: Data Governance Goes Ambient with a Digital Strategy

Forrester IT

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?

Paxata: Adaptive Data Preparation

CTOvision

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.

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First 100 Days of a Chief Data Officer

CEB IT

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.

Data Quality – The most important data dimension?

Eric D. Brown

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.

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Strata Data Keynotes Day 2 on Dimming the Noise, Faster Data, and Becoming Boring

Social, Agile and Transformation

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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Hortonworks’ Big Data Scorecard

CTOvision

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).

Transform Your Organization From Data-Driven To Insights-Driven

Forrester IT

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 […].

Opportunity Lost: Data Silos Continue to inhibit your Business

Eric D. Brown

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.

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Turn your data geeks into customer geeks

Eric D. Brown

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.

Data 139

Is The Data Ops Workbench A Thing?

Forrester IT

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

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Customer Engagement: A Data-Driven Team Sport

Eric D. Brown

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.

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New Quantum Machine Learning Algorithm Could Crush Big Data

CTOvision

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.

Data Analytics – The importance of Data Preparation

Eric D. Brown

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.

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What is Data Governance? Data practices that address risk and drive opportunities

Social, Agile and Transformation

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’s First-Ever Data Strategy & Insights Forum Don’t Miss It!

Forrester IT

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 […].

Machine Learning Is Transforming Data Security

Eric D. Brown

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.

Data Strategy & Insights 2018 Forum Workshops Deliver Immediate Dividends

Forrester IT

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 […].

The Future Of Mobility Is Data, Not Cars

Forrester IT

automotive brand experience consumer mobility customer experience ecosystem data management platforms (DMPs) mobile application platforms customer experience digital business digital transformation

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Why “Data Ownership” Matters

CTOvision

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.

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Why It’s Important For Your Organization to Know The Difference Between a Data Scientist and Data Engineer

CTOvision

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

Three questions you need to answer to succeed in data-driven projects

Datacponomy

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.

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Dynamic Data Centers

CTOvision

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

Right-Sizing Data Center Resources

CTOvision

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.