Are You Ready For Big Data?

The Accidental Successful CIO

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?

The Role of Technology in the Workplace

Kitaboo

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.

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?

No, Data Is NOT The New Oil

CTOvision

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

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Best Practices for Micro-Services Management, Traceability and Visualization

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.

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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Artificial Intelligence Needs Data Diversity

CTOvision

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.

A Data and Analytics Leader’s Guide to Data Literacy

CEB IT

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.

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Future-Proof Your Data and Analytics Workforce

CEB IT

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.

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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).

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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.

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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Why Data and Analytics Are Key to Digital Transformation

CEB IT

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.

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Distributed Data Caching Using Big Data

Datacponomy

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

Single Source Provider for Data Management – Not Yet

Forrester IT

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

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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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Snapshot: Data Scientist Salaries and Jobs in Europe

Datacponomy

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.

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A Data Scientist’s relationship with building Predictive Models

Datacponomy

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.

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Data Governance Takes A Turn – and Its a Doozy

Forrester IT

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

3 Foundational Practices for IoT Data Processing

Social, Agile and Transformation

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.

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.

The Growing Legal And Regulatory Implications Of Collecting Biometric Data

Forrester IT

customer experience security & risk biometrics Compliance data Security & Risk

How to Balance Personalization With Data Privacy

CEB IT

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.

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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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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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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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Data And Analytics Leaders, We Need You!

Forrester IT

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?

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What is the real difference between Data Science and Software Engineering Teams?

Datacponomy

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?

Data’s Growing Role in Scalable Ecommerce?

Datacponomy

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?

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.

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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.

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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).

Can Big Data Help Provide Affordable Healthcare?

Datacponomy

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.

Companies send confusing alerts about data breaches

CTOvision

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.