December, 2020

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10 Data Science Projects Every Beginner should add to their Portfolio

Analytics Vidhya

ArticleVideos Overview The projects are a way to enhance and improve your knowledge in the data science domain. To boost your resume, here we. The post 10 Data Science Projects Every Beginner should add to their Portfolio appeared first on Analytics Vidhya.

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Big Data Proves Invaluable to Retail Supply Chain Management

Smart Data Collective

Retailers are struggling to keep up with a growing demand for online purchases. They have found that the pandemic has completely upended their business models, as customers shift towards online commerce. This has driven many companies to find more innovative ecommerce marketing models that rely on big data. As such, retailers have an even tougher job of keeping on top of supply and demand.

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How To Define A Winning Value Proposition

BA Learnings

Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.

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DataKitchen’s Best of 2020 DataOps Resources

DataKitchen

We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Doing Power BI the Right Way: 6. Data Modeling Essentials & Best Practices (1 of 2)

Paul Turley

Part of the the series: Doing Power BI the Right Way Data Modeling 101: part 1 (more advanced techniques coming in part 2) A data model is the foundation of analytic reporting. It provides structure and order over information that might otherwise be chaotic and untrustworthy.

Modeling 145
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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years.

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More Trending

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How Trucking Companies Use Telematics to Increase Trucking Safety

Smart Data Collective

As technology has advanced in the transportation industry, there’s a lot of data available that can enhance truckers’ safety all over the world. One recent example is the development of electronic logging devices (ELD) that monitor drivers’ Hours of Service (HOS) compliance. But there are other examples of how technology is improving truck driver safety – that’s what telematics is all about.

Insurance 140
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Looking For Business Insights? Here's A List Of Free Online Survey Tools To Explore

BA Learnings

Market research is an essential aspect of managing a business and can be conducted with both internal and external customers in mind. The data gathered through online survey tools can be fed into a range of applications for more in-depth analysis. The subsequent analysis of this data can assist in the delivery of insights that can be applied to reduce staff turnover, improve employee relations and engagement, assist in product development and improve client retention, to mention a few benefits.

Reporting 147
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Improve Business Agility by Hiring a DataOps Engineer

DataKitchen

It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline. The agile alliance defines “ business agility ” as the ability of an organization to sense changes internally or externally and respond accordingly in order to deliver value to its customers.

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Doing Power BI the Right Way: 6. Data Modeling Essentials & Best Practices (2 of 2)

Paul Turley

Part of the the series: Doing Power BI the Right Way Data modeling 201-301 – continued from part 1 So far, you’ve seen that the essential components of a data model include tables related to each other.

Modeling 126
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Learn. Transform. Advance.

erwin

Learn. Transform. Advance. That was the theme of the global conference we produced in October, but I’d venture to say it’s the mantra global organizations need to adopt as we continue to deal with the most disruptive event of our lifetime: COVID-19. Learn. When I look back, I should not be surprised that 2020 has been incredibly busy for us here at erwin.

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Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio!

Analytics Vidhya

Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.

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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. However, policymakers, nonprofits and other experts are also finding machine learning applications that serve more benevolent purposes.

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What Are Critical Success Factors?

BA Learnings

How can we aim for, or even define, business success, if we don't know what it is? Critical success factors (CSFs) are an important element in business, and essentially entail identifying what really matters. In this blog post, we will explain exactly what critical success factors are, and take you through some of the different types. Deciding what matters Does your team have its eye on the ball?

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How to Build an Experimentation Culture for Data-Driven Product Development

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

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Making a Leaderboard Visualization in Juicebox

Juice Analytics

We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a leaderboard that ranks and compares Premier League players. I want to show you how easy that is to do in Juicebox.

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Introducing the Responsible AI in Practice Series (and Use Case #1!)

Dataiku

What happens when AI systems make a mistake? Why does that matter? Well, the mistakes can result in significantly impactful errors that cause harm, a very palpable risk for organizations across industries, from healthcare and finance to marketing and retail.

Finance 116
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Faster data exploration in Jupyter through Lux

Domino Data Lab

Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks give users the ability to choose the languages and libraries of their choice which offers great flexibility but, on the counter, point they can be very code intensive doin

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14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey!

Analytics Vidhya

Overview Here are 14 free data science books to get started and upgrade yourself on various fronts By no means is this an exhaustive. The post 14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey! appeared first on Analytics Vidhya.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Perplexing Impacts of AI on The Future Insurance Claims

Smart Data Collective

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. AI has moved forward in giant leaps over the last ten years, and new developments are being realized every day.

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How To Define A Winning Value Proposition

BA Learnings

Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.

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How Enterprise Organizations Can Become Data-Driven

DataCamp

One reason for the success of tech companies like Netflix and Airbnb: They’ve grown up with data. Not in tech? Here’s how to rebuild your company around data.

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Fostering inclusion with servant leadership

Cloudera

It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.

Marketing 111
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

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.

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IT Transformation Vs. Digital Transformation

TreehouseTechGroup

When as the last time you used a product that was not produced, marketed, or distributed digitally? It will surely be an effort to think of one. The rapid rate of change the world is seeing in all ways of living and working today is unlike ever before. From the largest conglomerates to startups, every… The post IT Transformation Vs. Digital Transformation appeared first on Treehouse Tech Group.

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Top 14 Artificial Intelligence Startups to watch out for in 2021!

Analytics Vidhya

Overview Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases Here. The post Top 14 Artificial Intelligence Startups to watch out for in 2021! appeared first on Analytics Vidhya.

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4 Employee Experience Metrics Your Business Should Track

Smart Data Collective

How do your employees experience their professional lives? It’s a worthwhile question, yet one that can seem frustratingly vague or hard to measure – but it doesn’t have to be. Rather, as software companies craft new employee experience (EX) platforms designed around communication, data management, and feedback collection, businesses now have access to the perfect tools.

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Inform Your 2021 By Looking At the Most Popular Finance Content of 2020

Jet Global

With 2020 being such an unusual and unexpected year, we’re looking back on our top content from the past 12 months. The lessons we have all learned from the changes 2020 brought can give you an advantage in 2021. COVID-19 brought a new urgency to financial reporting, with businesses needing to have an accurate view of their cash flow in order to inform future planning.

Finance 105
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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Data Trends 2021: The Year of Data Fluency

DataCamp

In 2021 and beyond, we’ll see better tooling across the spectrum of data fluency, higher emphasis on skills, and greater access to data across organizations.

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3x better performance with CDP Data Warehouse compared to EMR in TPC-DS benchmark

Cloudera

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 benchmark. Amazon recently announced their latest EMR version 6.1.0 with support for ACID transactions.

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2021 AI Trends: The Tipping Point

Dataiku

When we were looking ahead to 2020 at the end of last year, everything was about scale and becoming bigger, better, and bolder. After a tumultuous year, teams are undoubtedly more focused on retooling, finding creative ways to collaborate efficiently, and working in a new (and ever-evolving) world. When things return to status quo, that need to collaborate isn't going to go away.

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Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster)

Analytics Vidhya

Introduction “In case you are only starting your journey, I suggest to read some great notebooks to understand what is interesting to people, then. The post Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster) appeared first on Analytics Vidhya.

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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.