Sat.Jul 17, 2021 - Fri.Jul 23, 2021

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Tableau certification guide: Cost, training, salaries, and value

CIO Business Intelligence

Data visualization platform Tableau is one of the most widely used tools in the rapidly growing business intelligence (BI) space and individuals with skills in Tableau are in high demand. Market intelligence and advisory firm Mordor Intelligence forecasts the global data visualization market to achieve a compound annual growth rate of 9.69% between 2021 and 2026 as businesses seek to become more analytically driven.

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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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DataOps: The Foundation for Your Agile Data Architecture

DataKitchen

Learn about four data architectures patterns for agility - DataOps, Data Fabric, Data Mesh & Functional Data Engineering - & an example combining all four. The post DataOps: The Foundation for Your Agile Data Architecture first appeared on DataKitchen.

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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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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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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 304
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Vendors Ranked and Rated for Embedded Analytics in Value Index

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: Embedded 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.

Analytics 299

More Trending

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Everything You Should Know About Built-In Data Structures in Python – A Beginner’s Guide!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python Programming Language has been used worldwide for different fields such. The post Everything You Should Know About Built-In Data Structures in Python – A Beginner’s Guide! appeared first on Analytics Vidhya.

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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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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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A Chat with Randy Bean on His Book, Fail Fast, Learn Faster

DataKitchen

Chris Bergh chats with author Randy Bean about his book, Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data & AI. The post A Chat with Randy Bean on His Book, Fail Fast, Learn Faster first appeared on DataKitchen.

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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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Top 3 Ways to Write Your Tensorflow Code

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Having choices gives us flexibility and scope of creativity Introduction I. The post Top 3 Ways to Write Your Tensorflow Code appeared first on Analytics Vidhya.

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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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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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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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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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Absolute Beginner’s Series To Implement Neural Networks(Part-1)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This is the first of the three articles in the. The post Absolute Beginner’s Series To Implement Neural Networks(Part-1) appeared first on Analytics Vidhya.

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Metadata Improves Security, Quality, and Transparency

TDAN

How does Spotify win against a competitor like Apple? They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience. Let’s take a quick look at the layers of aggregate information that are used to enhance their platform: – Spotify uses natural language processing (NLP) […].

Metadata 119
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Beginner’s Guide to Cloudera Operational Database

Cloudera

My name is Shanmukha Kota and I am a recent graduate from University at Buffalo. I interned with Cloudera last summer and joined Cloudera as a software engineer a couple of weeks ago and this is my first experience with CDP and CDP Operational Database. For a new hire college graduate in the industry with only academic experience with HBase, I can only say it is very simple and easy to set up and work with CDP Operational Database.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Big Data 141
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Streamlit – Quickly turn your ML models into Web apps

Analytics Vidhya

ArticleVideo Book What is Streamlit? After you create your Machine Learning model for a specific problem, usually the next step is to create a. The post Streamlit – Quickly turn your ML models into Web apps appeared first on Analytics Vidhya.

Modeling 394
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What Is Feature Engineering?

Dataiku

Dr. Jason Brownlee, Ph.D., is a machine learning specialist and founding researcher at Machine Learning Mastery. According to Dr. Brownlee, “ feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.” In his perspective, it comes down to getting the most out of your data for predictive modeling.

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#ClouderaLife Spotlight: Veda Kadam, Software Engineer

Cloudera

Meet Veda Kadam. She’s relatively new to the Cloudera family. She started her journey here in June of 2020 when she joined our first ever fully virtual intern program. Now she’s a full time employee working as a Software Engineer on our Data In Motion team. From an early age, Veda knew she wanted to work in the technology industry. Her father worked in pharmaceuticals and her mother worked in accounting.

Software 111
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What Are State-Sponsored Cyber Attacks and Do They Use AI?

Smart Data Collective

Artificial intelligence has played a very important role in modern cyber attacks. Although AI technology has been very important in creating safeguards to stop these attacks, it has also been used to make these attacks even more vicious. Many hackers are using both social engineering and A I to exploit targets more effectively. A number of countries have engaged in cyber attacks against each other.

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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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Speech to Text Conversion- An application of NLP

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Speech is that the most typical means of communication and. The post Speech to Text Conversion- An application of NLP appeared first on Analytics Vidhya.

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Machine Learning is Replacing Music Mastering

TDAN

As AI continues to penetrate many areas of our lives, the music industry is no exception. Although there are many music production-related applications that involve AI, too many of them look like fun science projects without any applicability to the craft. However, in the past few years, the music industry has experienced a somewhat significant […].

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Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata. An asset alone is just the tip of the iceberg; metadata tells you “what lies beneath.”.

Metadata 105
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Using Data Analytics to Determine if a Fintech Site is Safe to Use

Smart Data Collective

Data analytics technology has been very beneficial for many consumers around the world. You can use data mining and analytics technology to make more informed decisions about purchases that you intend to make. One way that many people benefit from data analytics technology is that it can help them when they need to access financial services. They can use AI tools to figure out their chances of getting approved for a financial application, such as a loan or insurance policy.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Understanding RNN Step by Step with PyTorch

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we will learn very basic concepts of. The post Understanding RNN Step by Step with PyTorch appeared first on Analytics Vidhya.

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All in the Data: Connecting Data to Revenue

TDAN

I believe that my strongest articles and columns come from opportunities to work with great companies and organization. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you. A long-time client recently told me that, for their data and […].

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GraphDB Users Ask: How Many Repositories Can I Have in GraphDB and How Can I Unite the Disparate Data Between Them?

Ontotext

ONTOTEXT ANSWER: Unfortunately, millions of customers on a single GraphDB deployment would usually be impossible. This is because each repository, when active, even at 0 triples, has to introduce some data structures and processing. We have estimated that this contributes to about 200 MB of heap usage. So, even though your database could be impossibly large, there would be a physical limit to how much you can grow.

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AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!

Smart Data Collective

Do you remember the simpler times when we imagined: “one day, robots will roam the streets and act like people”? It sounded unrealistic, that something other than humans will be able to perform our functions. However, now when technology advances at an unbelievable rate, this is becoming more tangible than ever. It’s no longer a fruit of our imagination, not with chatbots acting like humans and machines doing tons of our work.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.