2021

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Key Differences Between Business Analysts and Business Analytics Professionals

Analyst Catalyst Blog

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Trends in AI/ML, Data Science and Analytics for 2022 | Simplilearn webinar starts 16-12-2021 15:30

Simplilearn

In a data-driven world, data scientists, engineers, and analysts need to be aware of the trends that will shape their work and careers in the year ahead. Join Simplilearn on Thursday, Dec. 16, 2021, at 9 PM IST (7:30 AM PST / 10:30 AM EST) for a survey of industry trends with Ronald van Loon, CEO, Intelligent World. He’ll share his insights into: Read More.

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Preparing for my CBAP Exam

Analyst Catalyst Blog

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Product Owner vs Business Analyst

Analyst Catalyst Blog

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Maximize Productivity and Simplify IT Management with Conversational AI

ChatGPT has dominated boardroom conversations for months now. From drafting a stock trading program, to creating a SQL query to model data, there are practically no limits to the applications of the AI language model assistant. At ManageEngine, we have been working on our own AI-assistant, Zia. Zia is a fully-trained analytics assistant that can perform a range of functions such as creating and adding reports to dashboards, providing conversational support to data analysis, insight discovery, bu

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Power BI 101, What Should I Learn?

BI Insight

This is the second part of my new series of Power BI posts named Power BI 101. In the previous post, I briefly discussed what Power BI is. In this post, I look into one of the most confusing parts for those who want to start learning Power BI. Many people jump straight online and … Continue reading Power BI 101, What Should I Learn? The post Power BI 101, What Should I Learn?

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Golden Rules of Stakeholder Engagement in Business Analysis

BA Times

What makes business analysis on a project effective?1 Is it just about allocating a business analyst (BA) to the project to produce business analysis deliverables on time, or is it about effectively communicating and engaging with stakeholders? While both are tactical prerequisites, we believe that engaging with stakeholders is key to any effective project implementation. […].

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The Daily Scrum Stand Up

Growing Agile

The purpose of the Daily Scrum is to inspect progress toward the Sprint Goal and adapt the Sprint Backlog as necessary, adjusting the upcoming planned work. The Daily Scrum is a 15-minute event for the Developers of the Scrum Team. To reduce complexity, it is held at the same time and place every working day of the Sprint. If the Product Owner or Scrum Master are actively working on items in the Sprint Backlog, they participate as Developers.

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Agile vs. Roadmaps — Ending the Battle [+Webinar]

280 Group

Sign up for our October 15th webinar, Unlocking a More Strategic Product Roadmap using Agile , to learn more in-depth about taking your product roadmap to the next level using Agile. The Product Roadmap. Early in my career as a Product Manager, a mentor provided this advice: the primary responsibility of a Product Manager is to drive sustainable business growth.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

Table of Contents. 1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever.

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The B2B Sales Leader's Guide for Any Economic Environment

When economic headwinds pick up, sales leaders are the first to sound the alarm — and chart a new course. Longer sales cycles, larger buying committees, increased price pressure, and smaller teams can quickly combine to reduce your margin for error and increase the urgency to find a solution. To thrive in a challenging environment, sales teams need a rock-solid grasp of the fundamentals and the biggest force-multipliers they can get their hands on.

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Analyzing the history of Tableau innovation

Tableau

Jock Mackinlay. Technical Fellow, Tableau. Bronwen Boyd. December 1, 2021 - 11:06pm. December 2, 2021. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release.

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Article: AI, ML and Data Engineering InfoQ Trends Report - August 2021

InfoQ Articles

How AI, ML and Data Engineering is evolving in 2021 as seen by the InfoQ editorial team. Topics discussed are deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML. By Roland Meertens, Kimberly McGuire, Srini Penchikala, Rags Srinivas, Anthony Alford.

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Artificial Intelligence Career Guide: A Comprehensive Playbook to Becoming an AI Expert | Simplilearn

Simplilearn

The term AI was coined back in 1956, and has come a long way from there, and has become more popular today. Cheers to all the massive amounts of data, advanced algorithms, and improvements in computing capability and storage. The growth of AI and Machine Learning has increased the demand for talented minds to help solve pressing business challenge. Read More.

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Converting Big Data into Actionable Intelligence

The Data Administration Newsletter

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

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Data-Backed Secrets for Minimizing Discounts & Maximizing ROI Post-Holiday

Use data to turn one-off holiday shoppers into repeat buyers and effortlessly drive more sales throughout the year. Our guide will give you an in-depth understanding of what triggers your customers to buy and breaks down campaign examples from leading B2C brands.

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Large Features and Long Deadlines Mean You Have a Gantt Chart, Not a Roadmap

Johanna Rothman

Several of my clients have internal struggles about how to internally see the future of the product. The teams want to use an agile approach so they can incorporate learning. The managers want rigid roadmaps. Why? Because the managers want to “know” the teams will deliver it all. However, the managers create a roadmap similar to the image above.

Agile 144
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Integrating and Visualising Multiple Microsoft To Do Accounts with Power BI

BI Insight

It’s been a while that I use Microsoft To Do to organise my daily tasks. From work-related tasks to buy groceries. While Microsoft To Do is super easy to use but there are some challenges in using it more efficiently, especially when you have multiple O365 accounts within different organisations. Here are some of the … Continue reading Integrating and Visualising Multiple Microsoft To Do Accounts with Power BI.

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Data Strategy: The Missing Link in Your Digital Transformation Plan

Smart Data Collective

On the surface, digital transformation is a simple process. You take a business activity that is old and ineffective/inefficient and re-energize it with new technology. This could be moving your spreadsheets to cloud software or even going so far as to move up from paper to digital. There is nothing inherently wrong with this process, but the way digital transformation is deployed often misses powerful opportunities ripe for the taking.

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Waterfall vs. Agile: A Relative Comparison

BA Times

The merits of Agile versus Waterfall are well documented. However, it is useful to understand the relative differences between the paradigms and how they impact Business Analysis – particularly if you work in an environment where both approaches are used. This article attempts to provide a visual, relative comparison between: A traditional Waterfall method that […].

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The Young BA

This article focuses on my experience starting as a customer service representative and working myself up to become a lead analyst in my organization. I did not start with many special skills or talents but I wanted to reflect on what did help me.

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Four Themes Will Shape The Future Of Insurance

Forrester - Business Intelligence

The future of insurance is here. That’s my view and I am sticking to it. Insurers can no longer wait on the sidelines. You must get in the game. What game you ask? The game for who wins the hearts and wallets of tomorrow’s insurance customer. Your competitors (think Amazon, Tesla, and Lemonade) give consumers […].

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Medical Data and Advanced Robotics: Saving Lives, Improving Care

Sisense

Blog. Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston.

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The How-To Guide for Cleaning and Preparing Data for Analysis

Juice Analytics

Tidying up your data is part science, part art, and all work. If you’re lucky, you’ll get your hands on some perfectly formatting data ( Slack does a nice job, for example). But more often than not, you’ll need to do some data cleaning before it is ready for analysis. Survey data is a particularly common clean-up challenge, but even pulling data from Google Analytics will require some clean-up.

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New data viz brings fans closer to Team USA

Tableau

Jackie Yeaney. EVP of Marketing, Tableau. Kristin Adderson. July 10, 2021 - 8:16pm. July 23, 2021. Meet Team USA. Over the next few weeks, 800-plus members of Team USA will converge in Tokyo to pursue their long-awaited Olympic and Paralympic dreams. These exceptional athletes will be competing in 339 medal events in 41 sports, including 22 Paralympic events, to be held in dozens of venues throughout Tokyo and surrounding regions.

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Facilitate Risk Management for Medical Devices within Azure DevOps

In this whitepaper, we will describe how to facilitate risk management for medical devices directly in Azure DevOps. In particular, we will focus on how manufacturers can achieve ISO 14971 compliance and overcome key challenges in the process.

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Article: GitHub’s Journey From Monolith to Microservices

InfoQ Articles

This article explores GitHub's recent journey towards a microservices architecture. It takes a deeper look at GitHub’s historical and current state, goes over some internal and external factors, and discusses practical consideration points in how Github tackled their migration, including key concepts and best practices of implementing microservices architecture.

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Harnessing Data Science for Climate Change | Simplilearn

Simplilearn

The U.S. has endured 258 weather and climate calamities since 1980, accumulating over $1.75 trillion in damage costs. Other climate-induced disasters, from Australia’s bushfires to floods in Central Africa and vegetation destroying temperatures in Baghdad, have marked 2020 as a pivotal point for climate scientists. Developments and ad. Read More.

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How to Win New Business with External Data

The Data Administration Newsletter

Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization. The difficulty in connecting to this data is top of mind for […].

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Deep Dive into Predictive Analytics Models and Algorithms

Marutitech

[avia_codeblock_placeholder uid="0"]. You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data. The power of predictive analytics is its ability to predict outcomes and trends before they happen.

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Why Organizations Must Advance Their Process Optimization and Automation

Digital Process Automation (DPA) is now a strategic priority, with organizations racing to digitize at scale and process optimization becoming a business-critical skill to increase operational efficiency and resilience. Agile automation is the new norm, with businesspeople driving responsive and rapid automation. Download this new infographic, to access your strategic guide on why it is vital to advance your process automation plan and how to triumph.