datapine

APRIL 25, 2023

2) When To Use Spider Graphs 3) Types Of Radar Charts 4) Radar Graph Best Practices 5) Spider Chart Examples If you are reading this blog post then you must be somewhat aware of the value of data visualization. As the image above shows, these graphs use a node (anchor) and equiangular spokes (axis) to represent each data dimension.

Visualization 168

Visualization Sales Testing Cost-Benefit 168

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks?

IT 317

IT Statistics KPI Data-driven 317

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. A professional dashboard maker enables you to access data on a single screen, easily share results, save time, and increase productivity. That’s why we welcome you to the world of interactive dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

Experimentation 79

Experimentation Modeling Deep Learning Data-driven 79

Jet Global

NOVEMBER 23, 2020

Blogs to Read as a CFO. Are you looking for blog posts for CFOs by CFOs? His blog talks about his experiences as a CFO and gives perspective from both start-up and mature companies. As such, it should come as no surprise that they have a blog tailored to CFOs. Whitepapers and Guides. Tools and Calculators. Sample Reports.

KPI 52

KPI Finance Dashboards Data Processing 52

DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools?

Software 130

Software Marketing Data Lake Testing 130

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . In 2021, the finalists under this category include the following organizations.

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

The Data Visualisation Catalogue

JANUARY 1, 2021

In total, there were 15 posts created, each with a particular category and color theme. This wasn’t a comprehensive list of charts and categories, but they were a decent introductory guide for selecting a chart type for your needs. Data Over Time. Charts used to communicate data related to geographical regions.

Uncertainty 129

Uncertainty Marketing Visualization IT 129

Ontotext

DECEMBER 15, 2023

This post describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. by co-occurrence analysis) and repeat We also coreference topics across datasets to leverage links between datasets. Wikipedia categories are used to classify articles, and to form a hierarchy.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

datapine

SEPTEMBER 6, 2022

3) Why Is Content Report Analysis Important? As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals. Why Is Content Report Analysis Important? Table of Contents. Let’s get started!

Dashboards 179

Dashboards Reporting ROI Metrics 179

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. www.erwin.com/blog/defining-data-governance/.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

The Data Visualisation Catalogue

JANUARY 17, 2024

However, Alluvial Diagrams can also be useful for multi-dimensional data analysis, by illustrating shifts in group composition. Alluvial Diagrams can be applied to various types of data to reveal significant changes, making them particularly suitable for tracking trends over time and illustrating patterns of flow in a fixed system.

Snapshot 77

Snapshot IT Visualization 77

datapine

APRIL 20, 2023

That is why graphical representations of data have been so popular in the media, politics, research, and businesses for decades. That being said, despite the prevalence of graphs and charts, there is still a lack of knowledge about the roles and uses of each data visualization type we have available. What Is An Area Chart?

Visualization 182

Visualization KPI Sales Dashboards 182

Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. With each blog we’ll outline the symptoms and root causes of common environmental health challenges and prescribe solutions. That’s observability. We’ve done it too. We confess.

Scorecard 81

Scorecard Data Architecture Dashboards Measurement 81

datapine

NOVEMBER 30, 2023

2) When & When Not To Use Tables 4) Types Of Table Charts 5) How To Make A Table Chart 6) Table Graph Examples Visual representations of data are all around us. This is especially valuable in a business context, where data has become a company’s biggest competitive advantage. What Is A Table Graph?

Visualization 186

Visualization Cost-Benefit Sales KPI 186

datapine

SEPTEMBER 1, 2020

Today, there are online data visualization tools that make it easy and fast to build powerful market-centric research dashboards. They come in handy to manage the results, but also the most important aspect of any analysis: the presentation of said results, without which it becomes hard to make accurate, sound decisions.

Reporting 247

Reporting Marketing KPI Dashboards 247

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

datapine

JULY 11, 2019

The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. Dashboard design should be the cherry on top of your business intelligence (BI) project. Now, it’s time for the fun part.

Dashboards 319

Dashboards Metrics Visualization Key Performance Indicator 319

The Data Visualisation Catalogue

JANUARY 24, 2023

Therefore, I wanted to comment on the rise of ChatGPT and how I think AI tools could impact data visualisation work now and in the future, as I believe it’s significant. After consuming a number of YouTube videos, blog posts, articles, and playing around with ChatGPT, I felt the need to write down my thoughts and observations on the topic.

Visualization 112

Visualization Interactive Data-driven Testing 112

The Data Visualisation Catalogue

OCTOBER 18, 2021

All three charts display coloured bands (or flow-paths), whose widths are proportional to the quantities the category of a band represents. Colour or divider lines can be used to divide the chart into different categories or to show the transition from one state of the process to another.

Visualization 92

Visualization IT 92

Cloudera

JANUARY 7, 2021

Classifying user-generated content allows for more nuanced sentiment analysis. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . Very few real-world use cases have categories that are eternally set in stone.

Machine Learning 105

Machine Learning Deep Learning IT 105

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

DataRobot

APRIL 6, 2020

If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. Our blogs target these two groups because they are the primary people who interact with our software. Until now.

Deep Learning 69

Deep Learning Forecasting Data Science Interactive 69

Smarten

MARCH 19, 2024

Statistical and analytical experts will tell you that there are three primary factors that can help you decide on the metrics to use for your analysis: The type of data you want to analyze – Understanding the data type can help you decide whether you need to consider a binary approach or look at categories, etc.

Analytics 57

Analytics Statistics Visualization Metrics 57

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. First things first – organizing and prioritizing your marketing data.

Reporting 280

Reporting Marketing Advertising Metrics 280

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

datapine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Organizations can also further utilize the data to define metrics and set goals. Digital age needs digital data.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

AWS Big Data

OCTOBER 5, 2023

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery.

Data Warehouse 84

Data Warehouse Machine Learning Data Integration Data-driven 84

datapine

NOVEMBER 15, 2022

In an increasingly data-driven business world, the product management field isn’t exempt from this need. Online data analysis tools will help you sharpen your product sense and give more weight and credibility to the decisions you make and submit to stakeholders. Explore our 14-days free trial and boost your products using data!

Metrics 141

Metrics KPI Measurement Dashboards 141

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 133

IT Metadata Data-driven Data Governance 133

datapine

FEBRUARY 18, 2020

In our data-driven digital age, ‘business intelligent’ organizations with the ability to collate, organize, and leverage the insights that are most valuable to their ongoing commercial goals are the ones that are destined to thrive in the long-term. Why You Need Financial Analysis Graphs? That said, let’s get started.

Visualization 201

Visualization Metrics Dashboards Finance 201

datapine

APRIL 13, 2021

Agency analytics is the process of taking data and transforming it into valuable insights that are then displayed with a professional agency dashboard. Apart from using their data to support decision-making, agencies also use metrics as the main language in which they speak to their clients. Benefits Of A Modern Agency Report.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

CIO Business Intelligence

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JULY 15, 2021

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. What Are Data Science Tools?

Data Science 145

Data Science Visualization Modeling Enterprise 145