erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Business terms and data policies should be implemented through standardized and documented business rules.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

JANUARY 5, 2023

Many customers find the sweet spot in combining them with similar low code/no code tools for data integration and management to quickly automate standard tasks, and experiment with new services. Customers also report they help business users quickly test new services, tweak user interfaces and deliver new functionality.

IT 130

IT Cost-Benefit Testing Dashboards 130

CIO Business Intelligence

NOVEMBER 11, 2022

Anand and Sorenson, the company’s senior vice president of technology services, supply chain, data integration, and reliability engineering, proposed the creation of an enterprise-wide Intelligent Automation Council that they would chair. We ended up creating the swim lane and all the documentation associated with it.”

Data Integration 122

Data Integration Strategy Machine Learning Technology 122

erwin

NOVEMBER 6, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and data lineage.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

FineReport

JULY 6, 2022

With the advancement of digitization, various business intelligence tools have gradually emerged. Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. It is devoted to transforming data into value. From FineReport.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

CIO Business Intelligence

NOVEMBER 17, 2022

To minimize business disruptions and avoid misunderstandings or important information being overlooked, it is critical for teams to maintain healthy communication and collaboration throughout transformation. By eliminating the potential for human error employees will be free to focus on more business-critical content management tasks.

Software 144

Software Management Digital Transformation Technology 144

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

erwin

JANUARY 17, 2020

Therefore, the right approach to data modeling is one that allows users to view any data from anywhere – a data governance and management best practice we dub “any-squared” (Any 2 ). The Advantages of NoSQL Data Modeling. They’re better at dealing with other non-relational data too. What is Data Modeling?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Octopai’s automated BI intelligence platform makes this process easy!

Metadata 52

Metadata Data Warehouse Data Integration Enterprise 52

erwin

APRIL 27, 2022

Read more about erwin® Data Intelligence by Quest. Best Data Modeling Solution (erwin Data Modeler).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Ontotext

JULY 26, 2019

Becoming more and more popular a term to denote an assemblage of technologies that help you find, manage and work with information, the knowledge graph built with semantic technology (the type of Ontotext’s GraphDB ) is attracting those who are interested in doing data right in the long-term. Read more at: [link]. Epilogue: Food For Thought.

Technology 75

Technology Enterprise Data Integration Management 75

CIO Business Intelligence

JANUARY 9, 2024

Still, he’s aiming to make conversations more productive by educating others about artificial intelligence. Similarly, the 2023 US AI Risk Survey Report from professional services firm KPMG found that data integrity was No. 1 among the top three risks — followed by statistical validity and model accuracy.

IT 140

IT Risk Cost-Benefit Enterprise 140

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 111

Digital Transformation Metadata Risk Management 111

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Value Achieved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 76

Data Lake Visualization Dashboards Insurance 76

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Democratisation.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Ontotext

JULY 26, 2019

Becoming more and more popular a term to denote an assemblage of technologies that help you find, manage and work with information, the knowledge graph built with semantic technology (the type of Ontotext’s GraphDB ) is attracting those who are interested in doing data right in the long-term. Read more at: [link]. Epilogue: Food For Thought.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CIO Business Intelligence

JUNE 7, 2022

Because of this, only a small percentage of your AI team will work on data science efforts, he says. The rest of the team will identify the problem being solved, help explain the data, help organize the data, integrate the output into another production system, or present the data in a presentation-ready manner.”.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

OCTOBER 7, 2020

There are five categories of data entities based on their functions and the type of data that they serve: Parameter (e.g., Document (e.g., When it comes to using data entities, you have two choices: out-of-the-box or custom data entities. Enterprise Business Intelligence. General Ledger). Tax Codes).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. SAC has to be able to understand all those things and then provide links to it.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

FEBRUARY 20, 2023

A candidate who earns the certification will have proved their ability to build bundle configurations, pricing, output documents, and renewals and amendments.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 95

Metadata Dashboards Metrics Visualization 95

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

MAY 3, 2023

Modernizing applications involves changing the underlying database engine to a modern document-based database like MongoDB. These two tasks (building data lakes or data warehouses and application modernization) involve data movement, which uses an extract, transform, and load (ETL) process.

Data Lake 77

Data Lake Data Warehouse Data-driven Optimization 77

CIO Business Intelligence

AUGUST 16, 2023

But Databricks isn’t the only data platform with its own LLM. John Carey, MD of the technology solutions group at global consulting firm AArete, uses Document AI, a new model now in early release from Snowflake that allows people to ask questions about unstructured documents. Use cases include data integration in the enterprise.

Modeling 98

Modeling Enterprise Cost-Benefit Marketing 98

CIO Business Intelligence

NOVEMBER 18, 2022

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. This is a dynamic view on data that evolves over time,” said Koll. The cloud served as the foundation for this transformation.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. Solution overview The integration of Talend with Amazon Redshift adds new features and capabilities.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

erwin

MAY 27, 2020

They should automatically generate data models , providing a simple, graphical display to visualize a wide range of enterprise data sources based on a common repository of standard data assets through a single interface. Data governance should be integrated throughout the data modeling process.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

FEBRUARY 22, 2024

Ultimately, CIOs may increasingly be held accountable for the veracity of the reporting, the third-party assurance of the data, and ensuring their organizations’ compliant disclosures align with their corporate ESG goals.” That’s where the single source of truth comes into perspective and increases performance,” Karcher says.

Software 98

Software Reporting KPI Enterprise 98

CIO Business Intelligence

MARCH 21, 2022

Financial institutions are operating in a complex, data-hungry environment. Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass.

Data-driven 116

Data-driven IT Finance Forecasting 116

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Dashboards 69

Dashboards Visualization Key Performance Indicator Business Intelligence 69

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Dashboards 61

Dashboards Visualization Key Performance Indicator Business Intelligence 61

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Today, data integration platforms like Rivery do just that.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52