Depict Data Studio

MARCH 2, 2023

4 Levels of Excel Vizardry I’ve taught data visualization in Excel a dozen different ways over the years. Level 1: Exploratory Viz We can make sparklines, data bars, and heat tables within seconds. I’ve blogged about these skills over and over and over because they’re the perfect launchpad. First, dip a toe in.

Visualization 59

Visualization Statistics Consulting Dashboards 59

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

AUGUST 2, 2023

With the use of customer data provided by chatbots, businesses can: Expand their knowledge base on issues that plague customers during their service experience Reduce wait times throughout the customer journey, allowing service teams to concentrate on more significant customer interactions that need legitimate human intervention.

Recreation/Entertainment 56

Recreation/Entertainment Insurance ROI Marketing 56

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

Cloudera

OCTOBER 28, 2020

For those who master the art of delivering a modern customer experience, there are huge rewards. By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. How can financial institutions improve the customer experience?

Unstructured Data 69

Unstructured Data Data-driven Machine Learning Digital Transformation 69

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. Why do we need a data catalog?

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. While there are many differences between Data Science Competitions and business, there are also similarities.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

erwin

MAY 14, 2021

compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts. Comparing SQL and NoSQL.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

Ontotext

AUGUST 15, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post. This training will not make a SPARQL master out of anyone.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

Paul Blogs on BI

MAY 27, 2020

Web Intelligence, IDT Universe Design, BusinessObjects administration, Dashboard design and data visualization. Wednesday June 24: BI Dashboards and Data Visualization. SQL for Data Analysts: Beginner/Intermediate. Mastering Tableau in Two Days. SQL for Data Analysts: Advanced. IDT in a Day.

Dashboards 59

Dashboards Visualization Business Intelligence Consulting 59

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Cloudera

SEPTEMBER 23, 2020

We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations. Access audits are mastered centrally in Apache Ranger which provides comprehensive non-repudiable audit log for every access event to every resource with rich access event metadata such as: IP. Data Catalog .

Data Lake 80

Data Lake Metadata IoT Enterprise 80

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Ms SQL Girl

JUNE 10, 2015

This is a much belated follow up to my very first blog post Open Your Mind To Business Intelligence from 4 years ago. Unfortunately all of the linked Channel 9 videos in that blog post are no longer available. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Ms SQL Girl

JUNE 10, 2015

This is a much belated follow up to my very first blog post Open Your Mind To Business Intelligence from 4 years ago. Unfortunately all of the linked Channel 9 videos in that blog post are no longer available. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Ontotext

JANUARY 6, 2021

. ‘Don’t Reinvent the Wheel’ Data analysis is an example where time and effort are being spent over and over only for the data and development to be chucked into the ocean after the work is done. This is particularly true for the initial data preparation stage of any analysis work.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Ontotext

AUGUST 16, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post. This training will not make a SPARQL master out of anyone.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

AUGUST 23, 2021

When we plug into the giant grid of information we call the Web, we are used to the fact that whatever we do – visiting websites, downloading stuff or just chatting, voluminous amounts of data get exchanged. Many of the data exchange processes on the electrical grid are (or would benefit from being) carried out with Web standards.

Marketing 52

Marketing Data Quality Modeling Management 52

Smart Data Collective

JUNE 18, 2021

Already many companies are using machine learning in a variety of exciting ways. Data management is driven by machine learning. Merging machine learning with master data management solutions is creating remarkable changes in the business world. Here are five ways machine learning is changing business operations.

Machine Learning 133

Machine Learning Data-driven Technology Testing 133

IBM Big Data Hub

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. In another major sporting event partnership, IBM and the Masters® built a digital platform to scale the capabilities of the Masters Digital team.

Consulting 56

Consulting Digital Transformation Recreation/Entertainment Unstructured Data 56

datapine

FEBRUARY 17, 2023

3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. That said, data and analytics are only valuable if you know how to use them to your advantage. million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

CDW Research Hub

FEBRUARY 17, 2020

Pre-upgrade considerations, such as compatibility issues and tools you can utilize to collect important data on your environment to assist with the upgrade. A wide variety of additional resources to discover more and continue planning your upgrade to vSphere 6.7 Step-by-step process and guide through the actual upgrade.

Optimization 64

Optimization Software Technology Management 64

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. The star schema is a popular data model for building data marts.

Slice and Dice 80

Slice and Dice Data Warehouse Metrics Metadata 80

Depict Data Studio

NOVEMBER 4, 2022

YouTubing , blogging , and speaking at conferences just for fun quickly transformed into a fulfilling, creative business that’s taken me all over the world and enabled me to work with dream organizations. I never intended to start a business; it just kind of happened naturally thanks to YouTubing and blogging. I loved your talk!”

Dashboards 75

Dashboards Testing Software Consulting 75

IBM Big Data Hub

OCTOBER 27, 2022

The application provided these teams with valuable business intelligence and trend analyses across a wide variety of variables from single SKUs to product categories, from store-by-store sales to regional trends, and temporal factors such as seasonality. How can we drill into the data to identify underlying factors and get a better outcome?

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

Ontotext

DECEMBER 7, 2023

The three roles of a knowledge graph A knowledge graph is a versatile way of organizing and using data. Like a database , knowledge graphs have schemas and users can apply complex structured queries to extract specific data needed. Because of the formal semantics attached to the data, knowledge graphs can act as a knowledge base.

Metadata 64

Metadata Modeling Software Statistics 64

Domino Data Lab

APRIL 29, 2021

If we can crack the nut of enabling a wider workforce to build AI solutions, we can start to realize the promise of data science. Transferring knowledge between data scientists and data experts (in both directions) is critical and may soon lend itself to a new view of citizen data science. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Depict Data Studio

DECEMBER 21, 2021

28 blog posts. Here are our favorite 21 data visualization resources from the past year. Knowing your audience” is terrible data visualization advice. In this blog post, you’ll learn 8 specific, nuanced, advanced ways of “knowing our audience.”. Better Storytelling with the Same Data: Upgrade that Board Packet!

Visualization 105

Visualization Dashboards Statistics Reporting 105

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Cloudera

APRIL 21, 2021

Like most of our customers, Cloudera’s internal operations rely heavily on data. For more than a decade, Cloudera has built internal tools and data analysis primarily on a single production CDH cluster. In this blog, we discuss our journey to CDP for this critical cluster. Our Internal Environment Before Upgrade.

Testing 116

Testing Data Processing Interactive Data Warehouse 116

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

datapine

SEPTEMBER 16, 2022

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Cloudera

OCTOBER 30, 2018

In this blog post, Sheryl outlines how next-gen CIP applications are delivering a better customer experience, and why businesses are relying on CIPs as their preferred path to customer insights. Structured data from operational data stores now provides a small slice of the overall data needed to improve customer experience.

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

AWS Big Data

JUNE 21, 2023

Among them are the use of embedding models, a type of model that can encode a large body of data into an n-dimensional space where each entity is encoded into a vector, a data point in that space, and organized such that similar entities are closer together. An embedding model, for instance, could encode the semantics of a corpus.

Metrics 77

Metrics Measurement Modeling Dashboards 77

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. Statistical techniques to handle nontrivial data. Statistics and programming go hand in hand. Linear regression.

Statistics 98

Statistics Modeling Predictive Modeling Machine Learning 98