Astera

MAY 14, 2024

Metadata management is elemental in providing this context to data and is the cornerstone for effective data governance and intelligent data management, ensuring your data is reliable and authentic. Governance: Establishing metadata governance processes to ensure metadata integrity, security, and compliance.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

APRIL 24, 2024

There are different types of data ingestion tools, each catering to the specific aspect of data handling. Standalone Data Ingestion Tools : These focus on efficiently capturing and delivering data to target systems like data lakes and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Actian

OCTOBER 28, 2019

IPaaS solutions provide five key capabilities that your IT organization needs to support business agility: Centralized management of data connections and credentials. Data flow orchestration. Data governance and access control. Ease of use. Rapid time to value. To learn more, visit www.actian.com/dataconnect.

Innovation 8

Innovation Data Warehouse Digital Transformation Agile 8

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

DECEMBER 22, 2022

Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Migrating data to the cloud is part of a flexible and scalable approach to data storage. A robust data integration tool simplifies connecting to cloud storage. How Automated Data Extraction Fits Here. Enter cloud-based storage.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

DECEMBER 21, 2022

What is unified data? Unification of data is when fragmented data sources are merged into a single repository, known as a “data warehouse.” Auditing for data protection compliance can be extremely difficult when data is processed, stored, and managed across a variety of locations and platforms.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. This should also include creating a plan for data storage services. Define a budget.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Data governance and compliance needs.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

ElegantJ BI

MAY 19, 2020

With Gartner and other technology research firms publishing reports and analysis about these trends, it is hard to believe that anyone working in technology (or in data science or analysis) would be in the dark (or skeptical), but apparently there are still a few people out there who need convincing! So, let’s go over this again.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Governance 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Data Access. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Data governance and compliance needs.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Insight Software

DECEMBER 4, 2023

Learn how users of business applications want to quickly leverage this data to extract insights, make data-driven decisions, and take the best actions in our on-demand webinar. Insufficient functionality and dashboards – ISVs face demands from their users to uplevel their reporting (e.g.,

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Supply Chain 52

Insight Software

MARCH 23, 2023

Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. Whatever their needs are, provide your end-users with tailored self-service capabilities for a more productive, engaging, and satisfying data experience. The key is finding the right balance.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Insight Software

OCTOBER 24, 2022

Modern analytics offers a different approach that incorporates data access, data governance, and dashboard interactivity – simplifying access to information. The Definitive Guide to Embedded Analytics. Logi Analytics. Download Now.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52