Sat.Dec 12, 2020 - Fri.Dec 18, 2020

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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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Tips to Achieve Tax Agility in 2021

Jet Global

By any measure, 2020 has been a difficult year for organizations to navigate. Changing tax laws, global regulatory scrutiny, and rigid reporting deadlines have already contributed to a challenging environment for corporate tax teams. But the emergence of COVID-19 layered even more complexity on their ability to predict ETRs and to support their organizations with accurate forecasts.

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A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

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Top 5 Articles of 2020 to progress your CX journey

Corinium

With 2020 coming to a close, and the continued impact COVID has had on businesses, we have collated the 5 best must read articles to progress your CX journey into 2021.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to Start, Nurture, and Grow a Business with Big Data

Smart Data Collective

At any given moment, a single person creates roughly 1.7 MB of data. We’re creating and putting more information out there than at any other point in human history. At this rate, by the end of the year, we can expect the Big Data market to reach 40 trillion gigabytes. That’s more data than most of us can even begin to imagine. Now, this data contains everything from the pictures you upload on social media to comments you post on Reddit and everything in between.

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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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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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Observing the Benefits of Data Analytics with Beverage and Food Labeling

Smart Data Collective

Big data has created a number of major benefits in the food and beverage industry. Research from Byteant highlighted some of these benefits in a recent post. They pointed out that the global food and beverage industry is worth $81 trillion. Food and beverage companies are using big data to identify new marketing opportunities. They can monitor trends in the market and sell products that cater to evolving tastes.

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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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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Should gullibility be a criminal offense?

Timo Elliott

Verdict: YOU’RE GUILTY!

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Data-Driven EHR Systems Are Invaluable to the Patient Experience

Smart Data Collective

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. There are a lot of different applications for big data in the healthcare sector.

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Learner Spotlight: Nigeria’s DataCamp Evangelist

DataCamp

How Felix Ayoola, a student and graphic designer in Nigeria, helped over 1,500 learners get free access to data skills training.

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Machine Learning Model – Serverless Deployment

Analytics Vidhya

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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How Can Blockchain Technology Improve VoIP Security?

Smart Data Collective

We have talked in depth about the benefits of big data with VoIP. One benefit that has been overlooked is the use of big data and blockchain to improve VoIP security. VoIP has become a leading choice for business communications. It offers savings of up to 90% on international calls, 75% on operational costs , 40% on local call bills, and 30% on phone bills – as reported by Finances Online.

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Making a Scatterplot 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 scatterplot visualization and details table. I want to show you how easy that is to do in Juicebox. This video tutorial will take you through the process of creating a simple Juicebox app in less than 5 minutes.

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Feature Engineering Using Pandas for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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How does Apache Spark 3.0 increase the performance of your SQL workloads

Cloudera

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.

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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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Sisense Q4 2020: Analytics for Every User With AI-Powered Insights

Sisense

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Every company is becoming a data company; there’s no getting around it. Savvy organizations know they don’t need to fear data and analytics — they see better insights as the pathway to a brighter future.

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An Approach towards Neural Network based Image Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: Hi everyone, recently while participating in a Deep Learning competition, I. The post An Approach towards Neural Network based Image Clustering appeared first on Analytics Vidhya.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Making a Dynamic Bar Chart 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 dynamic and drill-able bar chart. I want to show you how easy that is to do in Juicebox. This video tutorial will take you through the process of creating a Juicebox dashboard in less than 5 minutes.

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ETL Antipattern: Performing Full Loads Instead of Incremental Loads

Tim Mitchell

In my last post in the ETL Antipatterns series, I wrote about the common antipattern of ingesting or loading more data than necessary. This brief post covers one specific case of loading more data than necessary by performing a full data load rather than using a smaller incremental load. ETL Antipattern: performing full loads instead of incremental loads Earlier this.

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BI Reporting Nightmare: Where Did This Error Originate?

Octopai

Imagine a typical day in the office of your average BI team. Data is processing, information is moving through various systems, and reports are generating valuable insights for the decision-makers down the line. Then a BI reporting nightmare crops up – a significant mistake has been discovered in a data field. None of the BI professionals on the team have any idea where this issue originated.

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Top Female AI Influencers in 2020 Who Rocked the Data Science World!

Analytics Vidhya

Overview Have a look at the list of Top 11 Female AI influencers of 2020. We have attached their respective social media handles so. The post Top Female AI Influencers in 2020 Who Rocked the Data Science World! appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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CSAT KPIs: Measuring What Customers Really Think

Smart Data Collective

Customer satisfaction (CSAT) metrics are a powerful tool for businesses, but despite the way we talk about it, satisfaction isn’t something you can easily measure. Instead, we typically measure satisfaction by proxy, based on answers to more easily quantifiable questions – and though there are companies that do try to measure satisfaction directly, they’re less likely to be collecting actionable data.

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Data Governance: Starting Quickly with a Data Catalog

Alation

The post Data Governance: Starting Quickly with a Data Catalog appeared first on Alation.

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erwin, Microsoft and the Power of the Common Data Model

erwin

What is Microsoft’s Common Data Model (CDM), and why is it so powerful? Imagine if every person in your organization spoke a different language, and you had no simple way to translate what they were saying? It would make your work frustrating, complicated and slow. The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) and making them commercially available to improve how organizations understand and work with their da

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Statistics for Beginners: Power of “Power Analysis”

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction How much data is enough to state statistical significance? In other. The post Statistics for Beginners: Power of “Power Analysis” appeared first on Analytics Vidhya.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.