datapine

FEBRUARY 23, 2023

Table of Contents 1) What Are Graphs And Charts? 2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. So, how do you make sure you are using and understanding graphs and charts in the right way? What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

Ontotext

APRIL 6, 2023

Well, it’s all thanks to knowledge graphs. Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

datapine

OCTOBER 10, 2019

Do they want to get more social reach on the blog posts your company is putting out? This step can be much easier if you simply ask your user, or if you have intimate knowledge of their job. We’ll even cover the dos and don’ts of creating a dashboard. Without further ado, let’s get going. How familiar they are with the data or KPIs.

Dashboards 146

Dashboards Visualization Sales Metrics 146

IBM Big Data Hub

APRIL 28, 2022

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. Data fabric in action: Retail supply chain example.

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

Occam's Razor

DECEMBER 8, 2017

It is a company I love (am typing this on my beloved ThinkPad X1 Carbon Gen 5, using Windows Live Writer blogging software!). The Surface's share of shipments is so small, it does not even show up in a graph. The lesson is about the limitation of optimizing for a local maxima, usually in a silo. Let me illuminate this gap.

Broadcasting 123

Broadcasting Measurement Sales Marketing 123

Ontotext

MAY 26, 2021

Without all this background knowledge, before computers can perform like humans, they need a machine-readable point of reference that represents “the ground truth”. We often want computers to do the tasks we give them the way people do. And this is where the Gold Standard comes in. How does the Gold Standard help data linking?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Ontotext

MAY 25, 2023

The Knowledge Graph Conference (KGC) has proved to be a must-attend event for all graph enthusiasts. Held from May 8-12 at Cornell Tech in New York, the conference brought together a vibrant community of experts, practitioners and vendors in the graph and semantic tech space.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

APRIL 20, 2023

In our previous blog post, Bridging the Gap Between Industries: The Power of Knowledge Graphs – part I , we talked about starting the day with our smart car looking out for us, powered by knowledge graph technology. But knowledge graphs can transform more than the different aspects of a construction process.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Occam's Razor

OCTOBER 24, 2016

If you follow the advice outlined, the most likely outcome is an increase in the slope of your career's graph as it heads up and to the right! :). To address that, on this blog I've shared something I call the ladders of awesomeness – my view of what the entire evolutionary path looks like. It seems hard to believe.

Metrics 147

Metrics Marketing Optimization Modeling 147

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. Click To Tweet What Are Graph Technologies And Why Should C-level Executives Care? Let’s be frank.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. This can often only be judged with good knowledge of various statistical methods.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Ontotext

NOVEMBER 25, 2022

The entire use case for graph technology and semantic technology for managing complex technical knowledge, whether it’s different car components or all sorts of devices in a big building, wasn’t around five years ago. Think of customers like NASA, the most prominent automotive vendors, and infrastructure management companies.

Technology 52

Technology Management Manufacturing Publishing 52

Smarten

SEPTEMBER 9, 2024

This article will help businesses to understand the value of a mobile BI approach, and Mobile Business Intelligence best practices. Today’s Mobile BI applications are more advanced, flexible and interactive and designed to respond to business user needs and expectations.

Business Intelligence 52

Business Intelligence Key Performance Indicator IT Metrics 52

datapine

MAY 17, 2021

Table of Contents. 1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 4) Augmented Intelligence For Businesses. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery? What is a data discovery platform?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Domino Data Lab

JULY 21, 2019

Since Domino’s inception , we have tackled the reproducibility problem to support our customers via continued updates to the platform’s collaboration functionality as well as contributing to the overall public discourse on this blog and at industry events including Rev. A few highlights from the session include. Transcript.

Metadata 65

Metadata Statistics Risk Machine Learning 65

Occam's Razor

MARCH 23, 2010

In this blog post let me share with you some ground truths from my own humble experience. Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. This is sad. Even a little frustrating. Don't fall for the FUD.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

JANUARY 31, 2017

This is what I mean by an Analyst's death at the last mile … I'm confident a ton of work went into getting the data, analyzing it, creating this graph and choosing just the right fonts… It is also true that it is completely ineffective and no one will understand anything. simplification and 2. An important assumption.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263