Sat.Dec 30, 2017 - Fri.Jan 05, 2018

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Eliciting Requirements From Dispersed Stakeholders

BA Learnings

If you are meeting or contacting stakeholders for the first time and trying to understand their world, you need structure. By structure, I mean a framework of questions to channel the direction of the conversation or requirements elicitation. I was invited to prepare a business process documentation for a client who was based in another country. Traveling to meet the client was not an option.

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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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Data Quality and Chicken Little Syndrome

Jim Harris

“The sky is falling!” exclaimed Chicken Little after an acorn fell on his head, causing him to undertake a journey to tell the King that the world is coming to an end. So says the folk tale that became an allegory for people accused of being unreasonably afraid, or people trying to incite an unreasonable fear in those around them, sometimes referred to as Chicken Little Syndrome.

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Bloomberg's Data Initiative: Big Data For Social Good In 2018

Bruno Aziza

Whether it is data-driven marketing, sports analytics, political campaigns, or national security threats, data has become central to any type of informed analysis and plan of action.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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2017: 5 Most Popular Business Analyst Learnings Posts

BA Learnings

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

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Get a jump start on real-time analytics and insights

IBM Big Data Hub

Unlock the trusted information about your customers with MDM and empower your business analysts to search, explore and match with other data collections with governed freedom.

More Trending

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The Unholy Trinity: Ad Fraud, Hate Speech And Fake News

Bruno Aziza

There’s so much risky and objectionable content on the internet—fake news, hate speech, incendiary articles and representations of violence.

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Confirmation Bias: What BAs Can Learn From Data Scientists

BA Learnings

When we have a strong belief about something or a bias towards a particular opinion, we consciously or unconsciously seek out evidence that validates what we already believe. When we come across contrary evidence, our default behaviour is to ignore it, diminish it or in some cases, conclude that it’s wrong prematurely without exploring its merits. This behaviour is due to a cognitive bias known as confirmation bias.

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Data governance is not a sailor’s yarn

IBM Big Data Hub

Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.

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Staffing your big data team

Cloudera

Building the right team is as important as assembling the right IT infrastructure – and the needs differ just as dramatically. A traditional BI and analytics organization consists of three main groups: Analysts that develop reports often using sample data. The data management team – modelers that take requests, find data, and develop models to answer the questions.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Self-Serve Data Preparation Doesn’t Mean Traditional ETL is Dead!

Smarten

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.

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How Business Analysts Can Avoid Confirmation Bias

BA Learnings

When we have a strong belief about something or a bias towards a particular opinion, we consciously or unconsciously seek out evidence that validates what we already believe. When we come across contrary evidence, our default behaviour is to ignore it, diminish it or in some cases, conclude that it’s wrong prematurely without exploring its merits. This behaviour is due to a cognitive bias known as confirmation bias.