IBM Big Data Hub

JUNE 30, 2022

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The rise of data strategy. This requires a deep understanding of the organization’s strengths and weaknesses.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CDW Research Hub

JULY 22, 2020

It also ensures that the architecture maintains a low metadata footprint, with no assumption that all metadata always resides in the memory. With the right people and the right partners, Sirius focuses on solutions that will help you manage your operations, optimize your IT, secure it all, and transform your business.

IT 52

IT Metadata Business Objectives Machine Learning 52

TDAN

MARCH 16, 2021

This kind of system of organization paves the way for data teams to respond to your business objectives with accuracy and speed – without it, your analysis will always […]. No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Ontotext

NOVEMBER 22, 2020

The goal is to make it easier to encode the business knowledge of personnel such as business analysts who have the best understanding of the business and the most well-rounded domain knowledge. Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Paul Blogs on BI

SEPTEMBER 8, 2022

Every table has its own folder in PBI and they are just organized in alphabetical order making it impossible to build understandable models to report writers as the number of tables and objects increases. In a BusinessObjects universe there is just metadata. BusinessObjects is designed to work at the database level using native SQL.

Metadata 52

Metadata Reporting Modeling Business Objectives 52

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

O'Reilly on Data

JULY 28, 2020

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 361

Marketing Experimentation Metrics Testing 361

AWS Big Data

NOVEMBER 15, 2023

In this post, we demonstrate the following: Extracting non-transactional metadata from the top rows of a file and merging it with transactional data Combining multi-line rows into single-line rows Extracting unique identifiers from within strings or text Solution overview For this use case, imagine you’re a data analyst working at your organization.

Metadata 85

Metadata Sales Data Lake Big Data 85

AWS Big Data

JUNE 13, 2023

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Choose Browse.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

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. Provide metadata and schema visualization regardless of where data is stored.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Ontotext

MAY 16, 2024

This includes working with subject matter experts to prioritize business objectives and build use case relationships. Hence it is advisable for enterprises to leverage semantic metadata as the core for facilitating data connections.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Smart Data Collective

AUGUST 14, 2022

How Does DLP Help Your Business? Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security.

Risk 123

Risk Cost-Benefit Software Reporting 123

Andrew White

JUNE 11, 2019

Some might conclude this is a new trend; some might look back at the days when SAP acquired Business Objects and IBM acquired Cognos and Oracle acquired Siebel. Metadata Management Tools (split between some IT-centric and some business-centric solutions). I really can’t say one way or the other.

IT 82

IT Data Quality Data Integration Metadata 82

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Metrics: Metrics define a high-level overview of system performance and health.

Metrics 76

Metrics Visualization Measurement Optimization 76

Alation

MAY 12, 2022

Data defense minimizes risk while data offense ensures data is used to support business objectives. It combines metadata with data management and search tools so your workers can quickly find the data that they need, evaluate its fitness for intended use, and access those who can answer questions. Utilize a data catalog.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Cloudera

APRIL 9, 2019

Transforming Your Business with Multi-cloud and Hybrid Strategies. Your business objectives should drive your cloud strategies. Cloudera’s Enterprise Data Cloud empowers you to meet your present and future business demands. It facilitates hybrid and multi-cloud strategies by delivering.

Strategy 56

Strategy Experimentation Metadata Business Objectives 56

Jet Global

JANUARY 26, 2021

One very significant aspect of Business Central’s off-the-shelf reporting queries is that they only provide visibility into standard business objects that exist within Microsoft D365 BC. Unfortunately, though, there are limits to Microsoft’s out-of-the-box queries.

Reporting 98

Reporting Finance Visualization Data-driven 98

Cloudera

JANUARY 22, 2019

An organization needs a unified data management and analytics platform that can support its business objectives. Source: Cloudera. High-value Analytics. Enterprises seek high-value, agile analytics. Enterprises are looking for greater agility to detect change and respond proactively.

Big Data 45

Big Data Data Lake Internet of Things Enterprise 45

Alation

DECEMBER 15, 2021

On the other hand, an offensive data strategy supports business objectives. Integrating customer and market data for planning future business goals. As part of this process, the organization should start by: Inventorying data: Create a complete record of information resources with relevant metadata.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

FEBRUARY 10, 2022

With data classification, metadata tags are used to: Protect sensitive data. Define Business Objectives. The first step to any process is understanding your business goals. You might have more than one end business goal which will inform how you set out your process. Classifying data should have a purpose.

Data Governance 52

Data Governance Risk Insurance Metadata 52

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. Data mesh, with its domain-centric approach, simplifies the flow and management of data in support of business objectives and outcomes.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64