datapine

FEBRUARY 25, 2022

But, as the use of data becomes more popular the amount of information being collected is growing exponentially. However, they prove to be specifically useful in tables as they allow you to access additional data to extract deeper insights. Self-service BI tools offer intuitive data drill features that are easy to use.

Reporting 173

Reporting Dashboards Visualization Interactive 173

Cloudera

JANUARY 7, 2021

Text classification is a ubiquitous capability with a wealth of use cases. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. .

Machine Learning 104

Machine Learning Deep Learning IT 104

Ontotext

DECEMBER 15, 2023

It is a key use case of the Horizon Europe research project enrichMyData. Topics: Wikipedia Articles We use Wikipedia articles (and categories) as the core of our AI taxonomy. Wikipedia categories are used to classify articles, and to form a hierarchy. We use Categories as a way of finding relevant articles.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

CIO Business Intelligence

SEPTEMBER 12, 2023

Copyright Issues: Enterprise employees use Generative AI to create content such as source code, images, and documents. Protecting the Enterprise So, what can security professionals do to properly safeguard the use of Generative AI tools by their employees?

Risk 131

Risk Enterprise Software Marketing 131

datapine

JANUARY 24, 2021

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. We have used a marketing example, but every department and industry can benefit from a proper data preparation process.

IT 317

IT Statistics KPI Data-driven 317

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

Laminar Security

DECEMBER 13, 2023

For example, an AI system could be trained to classify emails into categories like “sensitive” or “restricted” based on patterns it has learned from a training dataset. It could be further trained to classify data into important categories such as PII, PHI and PCI, increasing efficiency in both data classification, and ultimately security.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

JANUARY 24, 2024

To mitigate and prepare for such risks, penetration testing is a necessary step in finding security vulnerabilities that an attacker might use. The terms “ ethical hacking ” and “penetration testing” are sometimes used interchangeably, but there is a difference. What is penetration testing?

Testing 81

Testing Risk Reporting IoT 81

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Making the use of warehousing metrics a huge competitive advantage. Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs? Lets get started!

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

SEPTEMBER 29, 2022

7) Data Quality Control: Use Case. quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. There are a lot of strategies that you can use to improve the quality of your information. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

Depict Data Studio

MAY 9, 2022

She enrolled in our Dashboard Design course and is sharing how she used her new skills in her personal life. I decided because I had one time point and wanted to compare categories (i.e., I made the following dashboard using the Data Bars feature in Microsoft Excel: What I Learned about Dashboards and Excel.

Dashboards 97

Dashboards Data Processing Consulting Testing 97

Sisense

AUGUST 12, 2021

Beer culture has risen in the US and worldwide, with over a half-trillion USD in sales annually ?— Modern technology certainly helps fuel beer’s rise: New equipment and techniques have broadened possibilities, and social media connects brewer-innovators and gets the word out. Using beer sales statistics to understand the consumer.

Sales 98

Sales Statistics Manufacturing Dashboards 98

erwin

MARCH 19, 2020

An enterprise architecture framework is a standardized methodology that organizations use to create, describe and change their enterprise architectures. Effective management of such complexity and scale requires tools and approaches that architects can use. Approaches, techniques, tools, principles, rules and practices may support it.

Enterprise 145

Enterprise Digital Transformation Visualization Management 145

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

DataKitchen

MARCH 16, 2023

It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. IT incident metrics are used to evaluate the reliability and efficiency of a system or process. Automated techniques can track errors. Forty-five metrics! And your team getting things done. But what are errors?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

APRIL 13, 2021

Apart from using their data to support decision-making, agencies also use metrics as the main language in which they speak to their clients. Besides adding value from a client perspective, modern reporting techniques can also be useful to improve the internal performance of your agency.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

Cloudera

OCTOBER 27, 2020

At Cloudera Fast Forward we work to make the recently possible useful. Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries.

Deep Learning 59

Deep Learning Machine Learning Forecasting Uncertainty 59

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. Note: the reports and dashboards samples used here are made with FineReport. The software build in various templates for your use. Sometimes, people use them interchangeably. Definition. Free Download.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Depict Data Studio

OCTOBER 26, 2021

In this blog post, you’ll learn from Elizabeth Dove. I first learned this trick using Adobe software and was pleased it works in the Office suite too, so try it in whatever design software you use frequently if you haven’t already! Pick from options using your brand colors. She also co-directs the Innovation Factory (IF).

Visualization 116

Visualization Experimentation Software Strategy 116

IBM Big Data Hub

DECEMBER 8, 2023

The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events. As Benjamin Franklin once said, “If you fail to plan, you are planning to fail.”

Risk 74

Risk Strategy Risk Management Insurance 74

erwin

JUNE 7, 2022

This blog is based upon webcast which can be watched here. As with the part 1 of this blog series, the cloud is not nirvana. But you must pay for using them. I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. So please avoid snowflakes.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). For example, many use it to contact users who leave products in their cart or exit their website. Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

datapine

AUGUST 20, 2019

fall under this category. Analyzing loads of data that are not accurate and contain anomalies is of no use as it corrupts business operations. The Big data problem can be comprehended properly using a layered architecture. It is the rim of the data pipeline where the data is obtained or imported for immediate use.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

DataRobot Blog

FEBRUARY 14, 2022

In this post, we’ll walk you through DataRobot’s Explainable AI features in both our AutoML and MLOps products and use them to evaluate a model both pre- and post-deployment. The dataset we’ll be using contains information about homes and their sales price. DataRobot uses a methodology called Partial Dependence to compute this. .

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

Octopai

JULY 17, 2022

You’ve probably noticed that we talk a lot about data lineage on this blog. When considering software to automate data mapping, identify its approach and keep the strong and weak areas of that approach in mind as you evaluate your data environment and its data mapping needs. So what is the difference between data mapping and data lineage?

Machine Learning 84

Machine Learning Visualization Enterprise Software 84

BizAcuity

APRIL 11, 2022

In this blog, we will discuss the different types of online betting frauds prevalent in 2022, and how online gaming business owners can protect themselves and their customers from these threats. We are summarizing the latest ways or techniques used by fraudsters. Use Fraud prevention software : . Bonus Abuse: .

IT 52

IT Risk Software Marketing 52

erwin

APRIL 4, 2022

But in 2022, the release naming convention changed from following the standard practice using the current year and number of releases to R12. Using Git repositories enables you to utilize Git features, such as version control and collaboration with team members. Specifies the branch that is used to push the forward engineering script.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

bridgei2i

MAY 20, 2021

From providing a hyper-personalized experience to using AI-powered self-service tools, harnessing AI’s power will help companies improve end-to-end customer support. Chatbots can use the data analytics tools to analyze the database and resolve customer issues immediately. 5 Ways AI Is Driving Better Customer Experience.

Sales 59

Sales Predictive Analytics Marketing Interactive 59

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. you can use Iceberg with your EMR cluster without requiring a bootstrap action. In real use case, it would be raw data stored in your S3 bucket. We use iceberg-blog-cluster.

Data Lake 117

Data Lake Data Processing Metadata Snapshot 117

Sisense

OCTOBER 6, 2020

Smart use of your data can be the key to optimizing processes, identifying new opportunities, and gaining or keeping a competitive edge. All descriptive statistics can be calculated using quantitative data. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CDW Research Hub

JUNE 4, 2019

AWS Storage Competency Partners have demonstrated achievement in helping organizations evaluate and use the techniques and technologies of effectively storing data in the AWS Cloud. AWS is enabling scalable, flexible and cost-effective solutions for organizations of every size, from startups to global enterprises.

Consulting 67

Consulting Optimization Strategy Technology 67

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. Note: the reports and dashboards samples used here are made with FineReport. The software build in various templates for your use. Sometimes, people use them interchangeably. Definition. Free Download.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Insight

MARCH 27, 2019

To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning. Using Google’s AutoAugment requires powerful computational resources due to the reinforcement learning module. 2018 , blog ).

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Cloudera

FEBRUARY 9, 2021

Cloudera, an innovator in providing data products to address these types of challenges, has introduced some new products, such as Kudu low-latency storage and Druid high-performance real-time analytics database that have been successfully implemented in the customer on-premises data centres for these types of real-time data warehousing use cases.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

Ms SQL Girl

DECEMBER 3, 2014

Narius Patel came up with a great idea of representing KPI status with image and using separate table to store the threshold values. The same technique applies to Tabular Model. For example, if you have a requirement such that one Product Category would have different Threshold values (e.g. Thanks Narius!) Prerequisites.

KPI 58

KPI Sales Modeling Measurement 58

The Data Visualisation Catalogue

MARCH 18, 2019

This time we’ll be exploring 3D Treemaps that use extrusion to communicate an additional variable. 3D Treemaps that use simple extrusion with rectangles are maybe easier to understand in comparison to the last two types of 3D Treemap design ( Cubes , Spheres and Cylinders ). This is the third post looking into 3D Treemaps.

Visualization 47

Visualization Interactive Software Experimentation 47

Depict Data Studio

SEPTEMBER 24, 2019

In this blog post, I’m going to explain how you can easily create a customized chart that will make your federal grant data conversations a breeze. Tweaking the font sizes to create a clear hierarchy where the category labels are larger than the data labels and legend text. Sorting the Data . Then I pressed OK. Improving Readability .

Visualization 51

Visualization Data Analytics IT Management 51