October, 2021

article thumbnail

Tech workers warned they were going to quit. Now, the problem is spiralling out of control

DataKitchen

The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.

363
363
article thumbnail

Databricks Lakehouse Platform Streamlines Big Data Processing

David Menninger's Analyst Perspectives

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface.

Big Data 327
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

End-to-End Introduction to Handling Missing Values

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

IT 352
article thumbnail

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?

article thumbnail

Get Started With Interactive Weekly Reports For Performance Tracking

datapine

Table of Contents. 1) What Is A Weekly Report? 2) Why Are Weekly Progress Reports Important? 3) Weekly Report Templates & Examples. 4) Top Elements Of A Weekly Performance Report. Businesses have been analyzing their performance for decades through traditional written reports, but with the amount of data being produced every day, the need for more frequent reporting is growing.

article thumbnail

Humans and AI: Bargaining Power

DataRobot

I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.

More Trending

article thumbnail

Alteryx Tackles Analytics Ops

David Menninger's Analyst Perspectives

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications, spreadsheet

Analytics 288
article thumbnail

5 Features Of Snowflake That Data Engineers Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

article thumbnail

The Quality of Auto-Generated Code

O'Reilly on Data

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Testing 308
article thumbnail

Monthly Reports Templates & Examples To Monitor Business Performance

datapine

Table of Contents. 1) What Is A Monthly Report? 2) What Is The Purpose Of Monthly Reporting? 3) Monthly Report Templates & Examples. 4) What Does A Monthly Report Contain? From startups to big enterprises, businesses are collecting more and more data every day and, it is no secret, that whoever is not taking advantage of it will simply stay behind.

Reporting 211
article thumbnail

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.

article thumbnail

3 Practices to Help Build a Strong Data Culture

Dataiku

Let’s be frank — creating a lasting data culture in your company isn’t going to happen overnight. No technology you install or datasets you gather will do that for you. You need time and, as we’ve seen across pop culture, it usually takes a new idea or innovation (or an old idea packaged as new) to change culture. This change usually falls on data leaders to drive because they have a unique perspective across data, technology, and the organization.

article thumbnail

How Predictive and Prescriptive Analytics Improve the Call Center Experience

DataKitchen

The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen.

article thumbnail

Use External Data Platform to Improve Analytics

David Menninger's Analyst Perspectives

Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources.

Data Lake 284
article thumbnail

Complete Guide to build your AI Chatbot with NLP in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

article thumbnail

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.

article thumbnail

20 Best Examples of Charts and Graphs

Juice Analytics

We’ve collected these high-quality examples of charts and graphs to help you learn from the best. For each example, we point out some of the smart design decisions that make them effective in communicating the data. There is a lot of variety in styles and structures, but you may notice common elements across these well-designed data visualizations. For example, you’ll see… Thoughtful use of color; Few distracting elements that undermine the message; Labels and legends that highlight how to inter

article thumbnail

Be the Best – 9 Ways to Market Your Business with Big Data

Smart Data Collective

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.

Big Data 141
article thumbnail

Deep Learning for Time Series Forecasting: Is It Worth It?

Dataiku

Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts. Whether it is forecasting future sales to optimize inventory, predicting energy consumption to adapt production levels, or estimating the number of airline passengers to ensure high-quality services, time is a key variable.

article thumbnail

Data Quality: Volume, interdependencies can create big problems

DataKitchen

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.

article thumbnail

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.

article thumbnail

Data Virtualization Brings Data Together Quickly and Easily

David Menninger's Analyst Perspectives

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.

article thumbnail

Learn how to make your own Optical Illusion in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

article thumbnail

Diversity Report Template

Juice Analytics

Pressure is building for companies to provide more transparency into the diversity of their workforce. Along with the #MeToo and BLM social movements, there are economic reasons why diversity data can be an indicator of company health. “A McKinsey study found that companies in the top quartile for gender diversity in corporate leadership had a 21% likelihood of outperforming bottom-quartile industry peers on profitability.

Reporting 142
article thumbnail

4 Reasons to Hire a Data Science Company

Smart Data Collective

1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.

article thumbnail

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.

article thumbnail

Dataiku’s Role in the Modern Data Stack

Dataiku

Any small or midsize business (SMB) that’s serious about making the use of data, analytics, and AI everyday behavior for everyone is using a version of the modern data stack architecture. It can even make sense in the enterprise context for teams just getting started on their AI journey.

article thumbnail

Data Engineers are Burned Out and Calling for DataOps

DataKitchen

The post Data Engineers are Burned Out and Calling for DataOps first appeared on DataKitchen.

246
246
article thumbnail

Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Cloudera

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.

article thumbnail

An Easy introduction to Flask Framework for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

article thumbnail

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.

article thumbnail

A Trick, a Tip and a Thing to Try in Your Next Presentation

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where participants share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! In this blog post, you’ll learn from Elizabeth Dove. Elizabeth is a professor at the University of Montana who teaches art and design.

article thumbnail

Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

article thumbnail

How These Female Sales Leaders Are Blazing Their Own Trail: Meet Doreen, Natália, and Rachel

Dataiku

Ever wanted to know more about the people behind your favorite Everyday AI platform? You're in luck — every few weeks, meet some of the humans at Dataiku working to ensure customers and users find success as they systemize the use of data and AI in their organizations. This week, we spoke with three sales leaders: Doreen, RVP Inside Sales EMEA; Natália, RVP UK&I; and Rachel, VP Sales and General Manager Central Europe.

Sales 119
article thumbnail

DataOps Lowers The Cost Of Asking Analytic Questions

DataKitchen

The post DataOps Lowers The Cost Of Asking Analytic Questions first appeared on DataKitchen.

Analytics 246
article thumbnail

Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.