2017

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A Business Analyst's Guide To Managing Change Requests

BA Learnings

It’s common knowledge that people tend to resist change as much as they can. However, without change, there can’t be progress and BAs would certainly not have that much to do. When working on large projects, change requests from stakeholders are to be expected. Successful project managers and analysts know how to manage them without bringing the project to a standstill.

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Artificial Intelligence: Implications On Marketing, Analytics, And You

Occam's Razor

A rare post today. It looks a little further out into the future than I normally tend to. It attempts to simplify a topic that has more than it’s share of coolness, confusion and complexity. While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016.

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Big Data: Examples, Sources and Technologies explained

ScienceSoft

While defining big data, we share multi-industry examples of its practical application, list its internal and external sources, as well as name most popular big data technologies.

Big Data 101
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Virtually Celebrate New Year’s Eve in Every Timezone with the ‘VRChat’ Community

IBM Big Data Hub

Ever wished you could jet set around the world fast enough to ring in the New Year at a party in every timezone? Well that might not be quite possible, but VRChat is offering something close. VRChat , a social VR experience supporting major PC VR headsets via Steam , is celebrating New Year’s Eve virtually in every timezone, every hour, on the hour.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Predictions 2018: The Blockchain Revolution Will Have To Wait A Little Longer

Martha Bennett

The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].

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Predictions 2018: AI Hard Fact – Treat It Like A Plug-And-Play Panacea and Fail

Boris Evelson

Look right, look left, you’ll see a fellow CIO contemplating their AI move. Failing to act is not an option in most organizations. However, as enterprises are kicking off their AI pilots or seeing early results, the honeymoon is over as enterprises that naively celebrated the cure-all promises of artificial intelligence (AI) technologies is over. Enterprises needed better data foundations.

IT 85

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My 10-step path to becoming a remote data scientist with Automattic

Data Science and Beyond

About two years ago, I read the book The Year without Pants , which describes the author’s experience leading a team at Automattic (the company behind WordPress.com, among other products). Automattic is a fully-distributed company, which means that all of its employees work remotely (hence pants are optional). While the book discusses some of the challenges of working remotely, the author’s general experience was very positive.

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The Five Faces of the Analytics Dream Team

Darkhorse

The chasm between Business and IT is well documented and has existed since the first punch-card mainframe dimmed the lights of MIT to solve the ballistic trajectory of WWII munitions. Analytics and now Data Science are trapped in the middle. Everyone hopes they'll deliver the productivity gains, but the jury is still out. Some studies suggest that analytics projects have an 80% failure rate.

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How Women Are Shaping The Big Data Revolution

Bruno Aziza

Increasingly, women executives are being called upon to take the lead in shaping the critical business functions that are most necessary to ensuring business value from Big Data and analytics investments.

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New Book: Big Data, Big Dupe

Perceptual Edge

I’ve written a new book, titled Big Data, Big Dupe , which will be published on February 1, 2018. As the title suggests, it is an exposé on Big Data—one that is long overdue. To give you an idea of the content, here’s the text that will appear on the book’s back cover: Big Data, Big Dupe is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a lie.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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A List of Business Process Management Certifications

BA Learnings

While there’s nothing like having some experience under your belt, Business Process Management (BPM) certifications can aid analysts in some key ways: they serve as concrete evidence of business process management knowledge; offer the opportunity to learn new concepts /best practices; and benefit from the experience of trainers/mentors. While some of these certifications are offered by professional organizations, others have been put together by software vendors.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is jus

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4 Types of Data Analytics to Improve Decision-Making

ScienceSoft

Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.

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Big Data at NASA

IBM Big Data Hub

Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?

Big Data 100
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Whose cloud? The business strategy question every CEO should consider.

Mark Raskino

Before we get into this important issue I have to declare a disinterest. I’m not a cloud analyst at Gartner. I don’t cover the vendors or their offerings. I can’t tell you which one is best under different circumstances. I have many colleagues who can help you with those decisions. What I do know is this – deciding which cloud(s) your company will become reliant on is a strategy question that cannot be left to technical thinkers alone.

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Smart Data Visualization Walks You Through to Success

Smarten

Take the Guesswork Out of Analytics with Smart Data Visualization! Smart data visualization takes the guesswork out of data analysis. Why ask your business users to use cumbersome, difficult tools to analyze data or expect them to wait for professional analysts or IT staff to satisfy their analytical needs. They have a job to do and you hold them accountable for results but if they don’t have the right data visualization tools, they can’t get the most out of data.

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STCU Visualizes Data to Improve Member Services

Information Builders

STCU Visualizes Data to Improve Member Services. Regional Credit Union Gains an Analytics Advantage With WebFOCUS. Taking analytics to the next level was important for the Spokane Teachers Credit Union (STCU). These needs became a priority once STCU learned that Pitney Bowes was sunsetting its Sagent business intelligence (BI) product, which STCU had depended on for 14 years.

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Beware the Data Governance Ides of March

Jim Harris

Morte de Césare (Death of Caesar) by Vincenzo Camuccini , 1798 Today is the Ides of March (March 15), which back in 44 BC was definitely not a good day to be Julius Caesar, who was literally stabbed in the back by the Roman Senate during his assassination in the Theatre of Pompey (as depicted above), which was spearheaded by Brutus and Cassius in a failed attempt to restore the Roman Republic, but instead resulted in a series of civil wars that ultimately led to the establishment of the permanen

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Should I Eat This Fish - A Redesign

Darkhorse

A few years ago we worked with the Alberta Government on a tool that would make Fish Consumption Advisories more accessible to the general public. And after working its way through the government’s approvals process that tool is finally here. One of the problems with eating fish, besides the smell it can leave in the office microwave, is that mercury accumulates in their bodies over time, and we humans don’t mix well with mercury.

Testing 75
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We Need Next Generation Algorithms To Harness The Power Of Today's AI Chips

Bruno Aziza

Artificial Intelligence, the sheer force that’s been transforming industries after industries, is going to make even bigger leaps if we can adapt our algorithms to capture the untapped computing power today’s AI chip has to offer.

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Everything you wanted to know about SAP Leonardo but were afraid to ask

Boris Evelson

Large enterprise software vendors seem to be enamoured with using the names of historical figures or literary characters as brand names. Unfortunately, this is really confusing for the buyers, since the vendors apply these branding names differently. For example (in an increasing order of branding approach complexity): OpenText Magellan is a collection of business intelligence […].

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Business Analysts & The Anchor Effect

BA Learnings

I’ve always been intrigued by the concept of cognitive bias for the simple reason that it exposes the flaws in one’s thinking and ability to make sound decisions. Every analyst, and in fact everyone, stands to benefit from understanding what cognitive biases are so they can be kept to a minimum or spotted when interacting with others. This piece discusses the anchor effect, how it is used to gain or lose advantage (consciously or unconsciously), and how its effects can be mitigated when dealing

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Data Visualization Best Practices

Paris Technologies

We’re living a data-generating reality in a digital world. The amount of data just keeps expanding; its potential to teach us growing along with it. Data wants to tell us its story. What is Data Visualization and Why is it Important? When we talk about data visualization, we are talking about a kind of translator […].

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Spark vs. Hadoop MapReduce: Which big data framework to choose

ScienceSoft

Hadoop MapReduce or Apache Spark? We explore two leading big data frameworks to understand the business needs each of them can satisfy.

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When faster data science moves the world

IBM Big Data Hub

Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’s competitiveness.

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A story chart of the corporate information age

Mark Raskino

It was nineteen-eighty-something. “ Information technology, is a societal, epochal technology ” said my university lecturer, quoting a translated Japanese author (that made the insight seem even more wise and visionary). Like … wow man. Decades later I find it helpful to reconsider the 60 to 80 year journey that historians call the ‘information age’ It’s not ivory tower thinking, it can be very enlightening for business and IT executives as they grapple with q

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Smart Data Visualization: Simpler, Better, Clearer, Faster

Smarten

Smart Visualization Tools: Analysis and Data Displays Made Simple (and Clear). Smart Data Visualization! This concept seems alien to some people. Is it data that can read your mind and automatically display itself in a way that will help you understand? Is it a method you use to see data in a clear way; a technique you learn in a class? The answer is yes…and no.

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The Internet of Things Uncovers the Value of Big Data

Information Builders

Image source: pixabay. Analytic Applications Focused on Connected Machines, Sensors, and Personal Devices Can Operationalize Insights and Monetize Data read more.

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The technology industry is under broad political attack

DMBS2

I apologize for posting a December downer, but this needs to be said. The technology industry is under attack: From politicians and political pundits … … especially from “populists” and/or the political right … … in the United States and other countries. These attacks: Are in some cases specific to internet companies such as Google and Facebook.

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“Machine Washing” is a symptom of AI snobbery

DataRobot Blog

After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.

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ABM Success Recipe: Mastering the Crawl, Walk, Run Approach

Shifting to an account-based marketing (ABM) strategy can be both exciting and challenging. Well-implemented ABM motions build engagement with high-value accounts and drive impactful campaigns that resonate with your audience. But where do you begin, and how do you progress from crawling to running? Watch now as Demand Gen experts delve into the essentials of each stage of the ABM process.