BA Learnings

DECEMBER 15, 2017

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

Cost-Benefit 177

Cost-Benefit Interactive Consulting Management 177

IBM Big Data Hub

DECEMBER 31, 2017

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.

Recreation/Entertainment 101

Recreation/Entertainment 101

Darkhorse

DECEMBER 11, 2017

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.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

Bruno Aziza

DECEMBER 21, 2017

As life science firms begin to actively mature their use of data, notable progress is being made in the efficiencies of drug development and the quality of insights produced at the research stage.

Big Data 74

Big Data 74

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Perceptual Edge

DECEMBER 6, 2017

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.

Big Data 74

Big Data Visualization Publishing Marketing 74

Smarten

DECEMBER 12, 2017

Smart Data Visualization Helps Your Users to Gain Insight! Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage.

Visualization 64

Visualization Business Intelligence Interactive Enterprise 64

IBM Big Data Hub

DECEMBER 18, 2017

It can be difficult to keep up with all the best podcast episodes during the year. That's why we've compiled the Top 10 podcasts of the year from the IBM Big Data & Analytics Hub Insights Podcast feed right here.

Big Data 88

Big Data Data Analytics Analytics IT 88

DMBS2

DECEMBER 15, 2017

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.

Technology 58

Technology Finance IT 58

Bruno Aziza

DECEMBER 18, 2017

Often when we discuss product skills, we talk about frameworks, processes, and checklists. But the most effective tools to becoming a great product manager are not hard skills, but rather soft ones.

Management 71

Management 71

ScienceSoft

DECEMBER 11, 2017

Big data visualization techniques: habitual pie charts and line graphs or something special? We share our experience in a new blog post.

Big Data 63

Big Data Visualization 63

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

Smarten

DECEMBER 15, 2017

Plug n’ Play Predictive Analysis for Accurate Forecasting! There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

BA Learnings

DECEMBER 31, 2017

Dear BAL readers, Welcome to another exciting and promising year! 2017 flew by so fast but not without leaving its mark and some interesting ideas for us to remember as business analysts. Here is a list of the most popular 2017 posts, as determined by BAL readers. This list is based on the number of page views recorded for each post. Here it goes: VRIN Framework/VRIO Analysis A List Of Free Business Intelligence (BI) Training Courses For Business Analysts A List Of Free Business Analysis Trainin

Business Analysis 172

Business Analysis Business Intelligence IT 172

IBM Big Data Hub

DECEMBER 27, 2017

Sexism in the workplace continues to be relevant, as much as we all don’t want it to be. And sexism isn’t one sided either, there are stigmas that follow females and males around that continue to be all too commonplace. So we ask our diverse panel of female recruiters to point out the most annoying thing they. View Article. What’s the Worst Thing You’ve Heard About Being a Woman in Recruitment?

IT 86

IT 86

MLWhiz

DECEMBER 27, 2017

Recently I was working on a in-class competition from the “How to win a data science competition” Coursera course. You can start for free with the 7-day Free Trial. Learned a lot of new things from that about using XGBoost for time series prediction tasks. The one thing that I tried out in this competition was the Hyperopt package - A bayesian Parameter Tuning Framework.

Data Science 53

Data Science 53

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

DMBS2

DECEMBER 12, 2017

Most of my comments about artificial intelligence in December, 2015 still hold true. But there are a few points I’d like to add, reiterate or amplify. 1. As I wrote back then in a post about the connection between machine learning and the rest of AI , It is my opinion that most things called “intelligence” — natural and artificial alike — have a great deal to do with pattern recognition and response. 2.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

Paris Technologies

DECEMBER 21, 2017

Some organizations believe that Excel needs to be eliminated from the business process. However, end-users still turn to Excel to get their job done and to meet the needs of management.

Management 49

Management 49

Smarten

DECEMBER 18, 2017

Advanced Data Discovery for Every Business User. No Special Skills Required! There are many facets to Advanced Data Discovery. The processes are sophisticated and the algorithms are exacting, but your business users need not worry about those things. To make the best use of augmented data discovery tools, you need to implement an advanced analytics solution that gives your team sophisticated tools and true insight into data, with flexible, personalized dashboards, and reporting that are easy eno

Statistics 61

Statistics Visualization Dashboards Reporting 61

BA Learnings

DECEMBER 3, 2017

Most people think they know what they’re good at. They are usually wrong. More often, people know what they’re not good at — and even then more people are wrong than right — Peter F. Drucker Peter Drucker emphasized the need for professionals to know themselves in order to manage themselves through feedback analysis. To perform effectively, people need to know and understand themselves.

Business Analysis 162

Business Analysis Management IT 162

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IBM Big Data Hub

DECEMBER 20, 2017

As the year winds down, questions tend to arise about what the big trends of the past year have been and what the year to come may hold.

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96

Perceptual Edge

DECEMBER 27, 2017

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests. In this blog, I’ve usually tried to my keep topics at least tangentially related to data sensemaking, but I now find this too confining.

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

ScienceSoft

DECEMBER 26, 2017

To prove the value of big data visualization, our team sums up the findings of recent dedicated surveys and shares possible use cases.

Big Data 56

Big Data Visualization IT 56

MLWhiz

DECEMBER 25, 2017

Recently Kaggle master Kazanova along with some of his friends released a “How to win a data science competition” Coursera course. You can start for free with the 7-day Free Trial. The Course involved a final project which itself was a time series prediction problem. Here I will describe how I got a top 10 position as of writing this article.

Sales 45

Sales Data Science Software 45

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.

Customer Analytics

Smarten

DECEMBER 4, 2017

What is Assisted Predictive Modeling? Anything that can help your business users to understand, interpret and analyze data is a help! Users have many tasks to perform in a given day and while analysis may not be their forte, they definitely need clear, concise data to share, to make decisions and to see opportunities, challenges and patterns. To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members an

Predictive Modeling 61

Predictive Modeling Modeling Predictive Analytics Forecasting 61

Bruno Aziza

DECEMBER 20, 2017

Data is so central to modern business and most companies are expected to hire a CDO by 2019, according to a report by Gartner. The same report contends that only half of them succeed and that most only stay in their positions on average just 18 months.

Data-driven 43

Data-driven Reporting 43

IBM Big Data Hub

DECEMBER 14, 2017

As happens so often, IBM is quietly laying the groundwork for the future. A recent step toward that future is TJBot, an unassuming, do-it-yourself cardboard robot that opens a window into what AI researchers are calling “embodied cognition.

IT 83

IT 83

Cloudera

DECEMBER 14, 2017

The Apache Hadoop community recently released version 3.0.0 GA , the third major release in Hadoop’s 10-year history at the Apache Software Foundation. We covered earlier releases like 3.0.0-alpha1 and 3.0.0-alpha2 on the Cloudera Engineering blog, and 3.0.0 GA is bigger and better than ever. General availability (GA) marks a point of quality and stability for the release series that indicates it’s ready for broader use.

Data Lake 43

Data Lake Software Management 43

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Analytics

Nutanix

DECEMBER 20, 2017

Today’s consumers are tech savvy. Their shopping experiences often involves some combination of brick-and-mortar, online, mobile, social, and other channels.

IT 20

IT 20

Occam's Razor

DECEMBER 8, 2017

Today, a simple lesson that so many of us miss at great peril. In fact in your role, at this very moment, your company is making a mistake in terms of how it values your impact on the business. The lesson is about the limitation of optimizing for a local maxima, usually in a silo. We are going to internalize this lesson by learning from Microsoft. It is a company I love (am typing this on my beloved ThinkPad X1 Carbon Gen 5, using Windows Live Writer blogging software!).

Broadcasting 121

Broadcasting Measurement Marketing Sales 121

Smarten

DECEMBER 7, 2017

Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation? In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data wa

IT 40

IT Testing ROI Data Warehouse 40

Bruno Aziza

DECEMBER 8, 2017

Technological advances come along so fast now, especially in the digital space, that some mistrust is expected. We especially don’t trust machine intelligence in part because we don’t understand it.

Technology 40

Technology IT 40

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Data-driven