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?

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.

Data 151

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.

Data 158

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 130

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.

Sports 151

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 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.

Data 170

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.

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.

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 […].

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.

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.

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 […].

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.

Data 173

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?

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 Maturity before Digital Maturity

Eric D. Brown

In this post, I want to talk about one of the most important aspects of digital maturity: Data Maturity. Before you can even hope to be digitally mature, you must reach data maturity. What is Data Maturity? You’ve got to understand the following: where the data came from?

Data 130

Data Analytics – Data Modeling, a Necessary first step

Eric D. Brown

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?

Data 198

The Data Way

Eric D. Brown

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.

Data 153

What is the cost of bad data?

Eric D. Brown

How much is bad data costing you? In this article I give an example of what the cost of bad data really is. The cost of bad data. What do they know about data management? The cost of bad data is high regardless of what the number actually shows.

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

Media 143

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.

Data 247

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 […].

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

Agile 129

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).

Information Risk: Balancing the Good and Bad of Data Analytics

CEB IT

Managers like to talk about the power of data and analysis, and the opportunity it gives them to launch new products and reach new customers. The former has opened up companies to new security risks while the latter has left some customers feeling uneasy about the privacy of their data.

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.

Data, analytics, and AI solutions showcased at the Strata Data Conference

Social, Agile and Transformation

Two years ago when I reported from Strata NYC I shared how new data prep technologies were bringing data integration and data quality capabilities to business users. Instead of waiting for IT to ETL experimental data into the data warehouse or data lake, business users apply tools like Tableau Prep, Trifacta Wrangler, or Talend Data Preparation, to perform profiling, cleansing, and. agile data AI big data data management data scientist innovation

Microsoft Azure Data Box Family #blogtobertech

Storage IO Blog

Microsoft Azure Data Box Family #blogtobertech Microsoft Azure Data Box Family is part two of a four-part series looking at Data Box. View Part 1 Microsoft announced Azure Data Box updates, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box Disk Impressions. Microsoft Azure Data Box Overview Microsoft […] The post Microsoft Azure Data Box Family #blogtobertech appeared first on StorageIOblog.

Data Ownership within an Organization

Eric D. Brown

Recently, I was having a conversation with an IT VP about data management, data access, reporting and analytical approaches to the data stored within the organization. Many view data as their ‘property’ because they are the ones tasked with storing and protecting it.

Data 228

Data Analytics – Prescriptive vs Descriptive

Eric D. Brown

You’ve collected tons of data. You’ve got terabytes and terabytes of data. You are happy because you’ve got data. But, what are you going to do with that data?You’ll How does data analytics come into play?

Data 194

Microsoft announced Azure Data Box updates #blogtobertech

Storage IO Blog

Microsoft announced Azure Data Box updates – #blogtobertech Microsoft announced Azure Data Box is the first in a series of four posts looking at Data Box including a test drive experience. View Part 2 Microsoft Azure Data Box Family, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box […] The post Microsoft announced Azure Data Box updates #blogtobertech appeared first on StorageIOblog.

The Agile Data Center

Eric D. Brown

I participated in the #DataCtrChat Twitter chat last week to join in on the conversation about the Agile Data Center. The #DataCtrChat is a great one to be a part of, especially if you’re interested in the data center. Every company has a different view about their data center.

Agile 224

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.