Sat.May 29, 2021 - Fri.Jun 04, 2021

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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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The Impact of Digital AI Advances on The New Workplace

Smart Data Collective

Artificial intelligence is the pillar of the new digital technology landscape. Since a growing number of companies are relying on digital technology for a variety of purposes, the impact this will have will be significant. There are a number of indicators that AI is going to be even more important in the near future. The role of the pandemic on the modern workplace cannot be overstated.

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4 Critical Things To Collaborate With The PO Successfully

BA Squared

Be a champion of the Product and Customer Experience Vision. There is nothing better than a backlog refinement meeting that is getting into the nitty gritty technical details and someone says “Let’s reframe and remind ourselves what we are trying to get the user to do.”. Every user story a team works on is about a user goal, afterall a user story is about THE USER, and I mean a human user.

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Boosting Employee Engagement In A Remote-Working World

BA Times

As the peak threat of COVID to our economies and livelihoods fades, we’ll begin to see life returning to normal. Shops, bars and places of worship will open, enabling people to congregate and allowing many people to return to work. However, for many organizations whose employees turned to home working, there will be no return […]. The post Boosting Employee Engagement In A Remote-Working World appeared first on Business Analyst Articles, Webinars, Templates, Jobs.

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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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15 Most Popular Data Science Tools and What's Unique About Them | Simplilearn

Simplilearn

We live in a world where data is king. Our lives, our personal information, our finances, our jobs, our entertainment, have all become digitized and stored as data. Paper and hardcopy are dead—long live the electronic revolution! As a result of this increase in generated data, there is a corresponding need to study and maintain it. That’s where. Read More.

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Dear Laura: Should We Hire Full-Time Data Stewards?

Dataversity

Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Should We Hire Full-Time Data Stewards?

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The Top 4 Things BAs need to learn to work effectively on Today’s projects.

BA Squared

Transition focus from tech to the customer. Today’s projects are all about getting business results and today’s business results mean creating smart and meaningful customer experiences. Many BAs were formerly business SMEs (subject matter experts) or Programmer Analysts before the Business Analyst role/title became the norm. Both these previous roles had very detailed knowledge about the systems that supported the user workflows and this served many BAs well in a role transition.

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The Growing Role of Data Science and AI in Banking and Finance | Simplilearn

Simplilearn

When’s the last time you wrote a check or visited your local bank? Sure, the old checkbook comes in handy from time to time, but your debit card and mobile banking apps likely get much more action nowadays. This digital shift was already underway long before COVID-19 accelerated the use of contact-free payments, deposits, and transfers. As a resu. Read More.

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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Based on last year’s data, that number has grown to $275 billion, and some experts expect it to be even higher after increases in computer usage and ecommerce due to the COVID pandemic forcing many companies to go remote and many consumers to do their shopping online, where data is collected for every purchase from pizza to a streaming movie.

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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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Considerations for Ensuring High Availability of Applications and Data

Dataversity

Click to learn more about author Dave Bermingham. When you think about how best to ensure the high availability (HA) of your applications and data, you need to think about more than just the speed with which you can failover to a standby system if your database suddenly fails. Yes, you should be prepared for full failover […]. The post Considerations for Ensuring High Availability of Applications and Data appeared first on DATAVERSITY.

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Upskilling the team in the “new normal”

BA Squared

Agile Transformation, Digital Transformation, The Need for Speed, No BA Needed in Scum….What does all this mean to BAs and the “new normal”? Gone are the days of big upfront analysis, long requirements “phases”, big requirements spec documents, and handing off a requirements document to the development team. Gone are the days of BAs gathering requirements and taking notes, then sitting at their desks creating documents to hand off to others.

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Program Preview: Post Graduate Program in Business Analysis | Simplilearn webinar starts 16-06-2021 15:00

Simplilearn

Business Analysis is More Essential than Ever!Digital transformation has shifted business further into the digital domain, and data drives business more than ever. Business success depends on business analysis to find not just the meaning in the data, but the relevant business insights to guide managers and executives.Join us on Tuesday, June 15, 2.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Domain experts of all fields use it. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

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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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Is a Proactive Approach Best for Data Privacy and Cybersecurity?

Dataversity

Click to learn more about author Ashok Sharma. The dependence on the internet and the constant connection with cyberspace make personal data vulnerable to issues people and businesses are unaware of. Companies today are a storehouse for extensively valuable data – from employees’ data to the business’s financial data to corporate intelligence to customer information. […].

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Why You Should Attend the AGM

Analyst Catalyst Blog

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Problem Solving for Digital Transformation | Simplilearn webinar starts 29-06-2021 15:30

Simplilearn

Digital transformation is a major trend in business, with the majority of companies pursuing digitization projects. But the trend comes with a risk: many digital transformation projects are using technology to automate wasteful business processes instead of making them more efficient. It’s essential to solve problems before creating digital solut. Read More.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

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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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Not All Embedded Analytics and BI Solutions Are the Same

Dataversity

Click to learn more about author Daniel Jebaraj. Your enterprise software is outstanding in its functionality. You have a solid value proposition with your target market. To make your offering even more attractive, you’ve decided to embed analytics and business intelligence (ABI) into your product. So far, so good. But which embedded ABI solution will you select?

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Be Bold. Get Inspired. Take Action.

Analyst Catalyst Blog

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Webinar Wrap-up: AI or Data Science? Mapping Your Career Path | Simplilearn

Simplilearn

On October 29, Ronald van Loon of Intelligent World joined Simplilearn for a conversation, AI or Data Science? Mapping Your Career Path. He spoke about the overlaps between Data Science and AI and how to weigh the differences when planning your career. Clearing Up the Data Science vs. AI Confusion Ronald commented on the confusion that is common a. Read More.

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The Evolving Role of Analytics in Strategic Financial Management

Smart Data Collective

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Strategic Financial Management or strategic finance is a process to help a company’s finances.

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Why (and How) to Switch to a New HR & Payroll Platform

Speaker: Speakers:

HR and payroll impact every aspect of your business. Choosing the right provider is one of the most important decisions you’ll make. Before you decide, hear first-hand customer accounts in Paycor’s webinar to learn: The three most important things to look for when switching. How to begin your search. What are some of the red flags?

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Start your visual facilitation journey with letters.

BA Times

With the growing use of agile practices and design thinking, there is also a growing awareness of the importance of working visually. If you think that sketch noting, visual facilitation and graphic recording is not for you because you cannot draw, then my advice to you is: Start by learning lettering. This may sound counterintuitive, […]. The post Start your visual facilitation journey with letters. appeared first on Business Analyst Articles, Webinars, Templates, Jobs.

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7 Essential Data Science Skills for Every Employee

Dataversity

Click to learn more about author Jessica Chapman. First and foremost, what, exactly, is Data Science? Data Science is a multidisciplinary field that uses processes, algorithms, and systems to obtain various insights coming from both structured and unstructured data. It is related to data mining, machine learning, and big data. A data scientist – the person in […].

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4 Questions Data Scientists Should Ask Before Accepting a Job Offer | Simplilearn

Simplilearn

Not all data science job opportunities are equal. I’ve seen hundreds of job descriptions for data science positions that are vastly different from one another. This happens for myriad reasons, not the least of which is that many organizations don’t really have an understanding of what a data scientist does or where a successful applicatio. Read More.

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When Big Data Meets Big Law – the Role of Data in Legal Services

Smart Data Collective

Many industries are starting to realize the true benefits they can get from analyzing and visualizing the many amounts of data is designed today. More and more conventional industries are starting to look into this direction: big data. One of these industries is the legal industry , with all legal companies and law firms included. There are some questions that legal advisors have: are there any real benefits of big data for law companies ?

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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.