February, 2021

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How Business Analysis Can Improve IoT Projects

Analyst Catalyst Blog

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Checkmate: What Is the Queen’s Gambit Move for Servers?

Dataversity

Click to learn more about author Andreea Jakab. Configuring a server is much like playing chess. One wrong move, and your website is down. As with chess, you need to think carefully about each step you take towards servers: starting from the right server type to the correct server configuration for your use case and […]. The post Checkmate: What Is the Queen’s Gambit Move for Servers?

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Positioning The BA Role For Value In Your Organizations

BA Squared

Everything BAs Do Involve Three Things. We all know how valuable business analysis is to organizations. As complex as our work is it all boils down to: . Solving Problems. Enabling Change. Making Good Decisions. Problem-solving, change, and decisions are everyone’s business! Not just the BAs! Exactly! BAs help teams solve problems, enable change and make decisions.

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Key Performance Indicators Are Crucial to Objective Metrics!

ElegantJ BI

Stay on Track with Business User Access to Key Performance Indicators (KPIs)! The days of managing a business by opinion or ‘gut feeling’ are long past. Every business has competition – whether local or global or both and the only way to know that the business is performing against objectives and goals and is strategically competitive is to use measurable goals.

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The HR Leader’s Workforce Management Guide

In today’s fast-paced business world, effective workforce management (WFM) isn’t just an option—it’s a necessity.

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Flaws in Machine Learning & How Deep Learning Is Helping | Simplilearn

Simplilearn

It’s hard to ignore the cultural and organizational impact that Artificial Intelligence (AI) has had over us. Most organizations today have realized the impact of AI, and are doing all that they can to participate in and help facilitate the growth of the technology. For those who know the nuances of AI and the metrics involved in it, Deep Learnin. Read More.

More Trending

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Quick Tips: Renaming All Tables’ Columns in One Go in Power Query

BI Insight

I previously wrote a blog post explaining how to rename all columns in a table in one go with Power Query. One of my visitors raised a question in the comments about the possibility to rename all columns from all tables in one go. Interestingly enough, one of my customers had a similar requirement. So … Continue reading Quick Tips: Renaming All Tables’ Columns in One Go in Power Query.

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Introducing BABOK French version

Analyst Catalyst Blog

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Five Requirements Prioritization Methods

BA Times

When customer expectations are high and timelines are short you need to make sure your project team delivers the most valuable functionality as early as possible.

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How Synthetic Data Powers Real-World AI Applications

Dataversity

Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges. The biggest challenge surrounds the […].

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Business Valuation Software: Free Guide to Valutico Platform

Explore our free guide to Valutico, the platform that revolutionizes automated report generation, offers access to 1 million M&A transactions, enables quick benchmarking, and streamlines the entire valuation process. With Valutico, you gain access to: 30-Minute Valuations: Rapidly producing accurate results. 3TB of Financial Data: The expansive data you need at your fingertips.

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Data Science vs. Data Analytics vs. Machine Learning: Expert Talk | Simplilearn

Simplilearn

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720.

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Big Data Analytics Has Potential to Massively Disrupt the Stock Market

Smart Data Collective

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 billion by 2026. However, the impact of big data on the stock market is likely to be even greater. Automated trading software is fast changing the approach a lot of individuals take to investing.

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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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BABOK Guide in French: one of the ways to meet the needs of French-speaking business analysts

Analyst Catalyst Blog

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr

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Business Analysis in the times of COVID-19

BA Times

Business needs that are linked closely with customer needs change dramatically during crises. During lock-down periods the way companies interact with customers has changed.

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The Most Important Cybersecurity Trends to Watch This Year

Dataversity

Click to learn more about author Jackson Shaw. With the global COVID-19 pandemic altering the way enterprise organizations do business and their employees work, it’s been a particularly challenging year for IT professionals. In addition to the complexities of migrating entire organizations to working remotely, it’s also their responsibility to ensure the new tools employees […].

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Data Scientist or Data Engineer? Mapping Educational & Career Opportunities | Simplilearn webinar starts 11-02-2021 15:30

Simplilearn

Confused about where to take your career in Data Science? Are you a data engineer type, or a budding data scientist? The two jobs have different skill sets, educational requirements, and career paths. With many jobs available in both roles, you need to understand the educational paths and the career opportunities for each so you can find the. Read More.

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Big Data Insights Show Surprising Impact of Diversity on Likelihood of Successful Ransomware Attacks

Smart Data Collective

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

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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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Technologies that Could See Significant Growth

The Data Administration Newsletter

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

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A 9-Step Roadmap for Successful Business Transformation

Analyst Catalyst Blog

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Why do we self-censor?

BA Times

Why do we self-censor? Obviously No One Says EXACTLY What They Are Thinking All Of The Time, But Why Do We Hold Back What We Believe To Be Valuable Contributions? In The World Of Remote Working, It Is Important To Understand This Issue.

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Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman. This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The goal is to equip readers […]. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

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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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Data Analyst vs. Data Scientist: What's the Difference? | Simplilearn

Simplilearn

There are many – often quite different – opinions about the roles and skillsets that drive this thriving field, which creates much confusion. So, what distinguishes a data scientist from a data analyst? Many seem to carry the perception that a data scientist is just an exaggerated term for a data analyst. Upon searching for “what does a data. Read More.

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6 Big Data Mistakes You Must Avoid At All Costs

Smart Data Collective

Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t.

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Article: The Future of Data Engineering

InfoQ Articles

Chris Riccomini examines the current and future states of the art in data pipelines, data streaming, and data warehousing. He presents a six-stage evolution that data ecosystems follow from simple monolith to a complex data-microwarehouse architecture as the data engineers who manage them solve problems and clarify their roles as infrastructure engineers rather than data stewards.

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Product Ownership Blog Series, Part 4: Getting Familiar with User Stories and Job Stories

Analyst Catalyst Blog

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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.