datapine

SEPTEMBER 29, 2022

From customer relations to marketing, sales, and finances, being able to make informed decisions with your own data is just invaluable in today’s fast-paced world. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. Enforcing finance regulations has also become a concern for BI & analytics teams. Value of Data Mapping.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. It took about nine weeks to set up the infrastructure, make the connection to the database, and index and understand the metadata. We’re a Power BI shop,” he says. “I Establishing a clear and unified approach to data.

IT 96

IT Forecasting Data Lake Enterprise 96

CIO Business Intelligence

NOVEMBER 15, 2023

And don’t just rattle off project metadata. Say that it will be integrated with more than 30 of the company’s platforms and that it will be wielded daily by over 400 employees to satisfy their objectives across Finance, HR, and Manufacturing. If your IT organization has a team dedicated to Finance, consider handing them the mic.

Publishing 124

Publishing Reporting IT Finance 124

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

CIO Business Intelligence

APRIL 27, 2022

Rajgopal adds that all customer data, metadata, and escalation data are kept on Indian soil at all times in an ironclad environment. The most affected sectors and industries were those that were most regulated—specifically, the public sector, health, and finance. The need for sovereign cloud now extends across industries.

Digital Transformation 111

Digital Transformation Metadata Risk Management 111

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Octopai

APRIL 8, 2020

Let’s examine how these processes failed, what regulations were put in place as a result, and what this means for business intelligence teams today. To solve this problem, banks implemented data lineage tools in conjunction with the other metadata analysis capabilities, such as data discovery and a business glossary.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

Peter James Thomas

AUGUST 29, 2018

I have accountability for the governance and quality through those processes and for making the data available for downstream consumers, like Analytics, Risk, Finance and HR. On a day to day basis, we are aligned with the business units and the functional units so we have CDOs in all of these areas. So does the interviewer. [3].

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Jet Global

DECEMBER 1, 2020

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. Most finance and accounting teams include people with strong analysis skills who have built elaborate Excel spreadsheets. The Easy Path to BI.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Octopai

MAY 18, 2020

On second thought, raise your hand if you haven’t been in this situation: It’s time for the annual business review with senior company executives. The finance team is behind on the year-end accounting, and it’s shutting the window you have to generate business review materials.

Metadata 52

Metadata Reporting Business Intelligence Data Warehouse 52

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

NOVEMBER 29, 2023

It’s data that is the key to moving from generic applications to generative AI applications that create real value for your customers and your business. Amazon DataZone uses ML to automatically add metadata to your data catalog, making all of your data more discoverable.

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

Jet Global

MAY 27, 2021

Oracle recommends that Discoverer users migrate to Oracle Business Intelligence Foundation Suite. Their analysis highlighted that the average annual production cost of each report that finance teams maintain is around $8,000. Business Area. Hubble puts business users in control of reporting. Hubble Equivalent.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

AWS Big Data

MAY 4, 2023

In this post, we create two groups: sales and finance. sales' : '', isMemberOfGroupName("finance") ? Use the IdP metadata in block 4 and save the metadata file in.xml format (for example, metadata.xml ). Choose Choose file and upload the metadata file (.xml) Choose the plus sign and then choose Done.

Finance 77

Finance Data Warehouse Sales Metadata 77

Octopai

SEPTEMBER 6, 2020

Machine learning also plays a role in automated enterprise metadata management. In this article, we’re going to examine the relationship between machine learning and metadata management, how machine learning improves the quality of Business Intelligence (BI), and the ways in which you can apply these learnings to your own organization.

Metadata 56

Metadata Machine Learning Enterprise Management 56

Alation

JUNE 21, 2022

Raising Series D financing to reach a valuation of $1.2 Our investment with Alation will allow HPE’s customers to surface rich metadata information from their data assets and utilize it to deliver increased value to their customers.” That rich metadata fuels a range of use cases, from governance to data democratization initiatives.

Digital Transformation 52

Digital Transformation Metadata Cost-Benefit Data Governance 52

BI-Survey

MARCH 4, 2022

Best-in-class companies are more successful in spreading their message company-wide, while laggards still focus on establishing a data culture within their finance and accounting departments. by obliging data producers or system owners to publish metadata about data originating from their systems).

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” So how does data intelligence support governance?

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

MARCH 7, 2024

They have a ton of data, due to their massive customer base, from which to train models, as well as the metadata, which is the data that describes or carries the attributes of that data, like flows, mappings, and business rules,” says Kirkpatrick, research director at Futurum.

Enterprise 125

Enterprise Metadata Data-driven Modeling 125

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Finally, the data is aggregated into specific data products oriented to a specific business line.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85

Jet Global

FEBRUARY 23, 2024

Data warehouse architecture extracts data from existing databases, transforms it using specified rules, and loads it into a central repository for easy access and control, providing a foundation for business intelligence and analytics. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 19, 2023

Finance teams, like yours, are expected to offer meaningful input on cloud investments. Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence. Angles Hub provides a highly collaborative environment for business users, BI developers, and IT.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MARCH 14, 2024

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. It provides the ability to transfer code and procedures between various environments, preventing vendor lock-in and guaranteeing flexibility in response to changing business requirements.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

SEPTEMBER 22, 2023

In a rapidly evolving business environment, timely insights from data and the ability to react quickly to change are critical. Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52