July, 2021

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The Value Index for Vendors Providing Analytics and Data on Mobile Devices

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and which vendors are included.

Analytics 264
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DevOps Is Not DataOps

DataKitchen

Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment. The post DevOps Is Not DataOps first appeared on DataKitchen.

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Creating Data Science Python Package using Jupyter Notebook

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.

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Communal Computing’s Many Problems

O'Reilly on Data

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Communal devices are intended to be used by groups of people in homes and offices. Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others.

Risk 306
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”.

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Zendesk The Agility Playbook

Corinium

If companies weren't flexing their agility muscles before the pandemic, they certainly are now. Zendesk surveyed to help enterprise businesses stay ready, no matter what comes next. With original data and actionable insights from CX business leaders at 90,000 companies, this agility playbook will help enterprise stay ready, no matter what comes next.

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Does Your Organization Need a Chief Data Officer? Probably

DataKitchen

The post Does Your Organization Need a Chief Data Officer? Probably first appeared on DataKitchen.

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How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

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Marketing Analytics: Attribution Is Not Incrementality

Occam's Razor

One of the business side effects of the pandemic is that it has put a very sharp light on Marketing budgets. This is a very good thing under all circumstances, but particularly beneficial in times when most companies are not doing so well financially. There is a sharper focus on Revenue/Profit. From there, it is a hop, skip, and a jump to, hey, am I getting all the credit I should for the Conversions being driven by my marketing tactics?

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. Before we start, I have a few questions for you. What attributes of your organization’s strategies can you attribute to successful outcomes? How long do you deliberate before taking specific deliberate actions?

Strategy 267
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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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Establishing Rapport With Critical Stakeholders

BA Learnings

We’ve all encountered problems in our attempts to communicate business insights. Managing denial and setting expectations requires a positive rapport with critical stakeholders if we are to overcome these issues. To bridge communication gaps, understand why establishing a good rapport is vital. Then, apply these methods to building relationships with your most important stakeholders.

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Using Event Data in Manufacturing to Improve Business Processes

David Menninger's Analyst Perspectives

Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed the flow of information and improve responsiveness within business processes. In this perspective I’ll share how manufacturers are working with event data to transform their organizations.

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Converting Big Data into Actionable Intelligence

TDAN

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 […].

Big Data 145
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Predicting The Wind Speed Using K-Neighbors Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier 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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A Developer’s Guide to Creating Bad Power BI Projects – Part 1

Paul Turley

It occurred to me that we have put so much effort into promoting best practices and proper design that there is far less information about how to create bad reports and data models. In that light, the purpose of this article is to talk about what to do if you want things to go poorly and make sure your projects fail - if not immediately, then sometime in the future - and if not for you then for whoever inherits the work that you have done.

Reporting 145
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Data Science Tools: Understanding the Multiverse

Domino Data Lab

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. As new team members with varying backgrounds are added, as new sources of data are made available from different platforms, or new deliverables are required from stakeholders, allegiance to a

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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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The Market and Value Index for Collaborative Analytics and Data

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Collaborative Analytics and Data is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and included vendors.

Marketing 246
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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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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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A Guide To Monte Carlo Simulation!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.

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By 2024, 60% of the data used for the de­vel­op­ment of AI and an­a­lyt­ics projects will be syn­thet­i­cally gen­er­ated

Andrew White

A Gartner ‘Predict’, published in the Wall Street Journal this weekend ( Fake It to Make It: Companies Beef Up AI Models With Synthetic Data ), says: “By 2024, 60% of the data used for the de­vel­op­ment of AI and an­a­lyt­ics projects will be syn­thet­i­cally gen­er­ated” The Predict was shared by our very own Er­ick Brethenoux who leads our AI research.

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How to Name Worksheets in a Paginated Report Exported to Excel

Paul Turley

This question comes up every few years in SQL Server Reporting Services. Of course, in Power BI Paginated Reports, we have the same features.

Reporting 131
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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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The Unexpected Value of Data Storytelling in Sales Presentations

Juice Analytics

Andy Raskin calls the following Zuora presentation “ the greatest sales deck I’ve ever seen.” Zuora Sales Deck from Ryan Gum Why’s it so great? It explains how a changing world will lead to winners and losers, and gives the customer a tease of how they can become a winner with the magic of the product. The weakness of this pitch is the evidence it provides to convince the audience that these things are true.

Sales 140
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Amazon is a Vendor of Merit in 2021 Value Index for Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Amazon QuickSight drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 246
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Can Online Machine Learning Tools Help with Personal Financial Management?

Smart Data Collective

Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them.

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Everything You Need To Know About PandasGUI

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction How many times you have used Pandas library for your. The post Everything You Need To Know About PandasGUI 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.

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DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences

DataKitchen

The post DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences first appeared on DataKitchen.

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Understanding Natural Language Processing -A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

Modeling 400
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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python 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.