The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Data Modelling Data Architecture Data Management 145

Insight Software

JANUARY 20, 2021

In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models. That process, broadly speaking, is called data management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Marutitech

JANUARY 21, 2022

Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data analytics process into a strategic context so that companies can harness the power of their data while working on their data science project.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

DECEMBER 21, 2022

These data warehouses leverage the power of the cloud to offer enhanced scalability, flexibility, and elasticity to organizations. Today, more and more businesses are adopting cloud data warehouses as part of their data analytics and business intelligence strategies, owing to the benefits they offer.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

JANUARY 25, 2024

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. Use Cases Data warehousing, business intelligence, reporting, and data analytics.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Actian

JUNE 17, 2019

This isn’t enough to manage the data complexity of modern business. Digitally transformed business processes rely on real-time data to enable staff to make decisions and keep processes within the company operating smoothly.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

JULY 11, 2019

Data science professionals have been working with companies and individual technology providers for many years to determine a scalable and efficient method to aggregate data from diverse data sources. Why operational technology data management may never be standardized. appeared first on Actian.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Data Pine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Tableau

APRIL 18, 2022

If they connect their siloes and harness the power of data they already gather, they can empower everyone to make data-driven business decisions now and in the future. The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? Data modeling.

Data Quality 99

Data Quality Government Artificial Intelligence Data Warehouse 99

Tableau

APRIL 18, 2022

If they connect their siloes and harness the power of data they already gather, they can empower everyone to make data-driven business decisions now and in the future. The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? Data modeling.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

Actian

JULY 29, 2019

This approach lets you leverage the cloud-processing power and scale for processing without moving all your data. The key to an effective cloud-analytics solution is having a set of data-management capabilities that enable you to manage data connections to source systems, tools to aggregate data into a common hybrid data model.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. What Is Business Intelligence And Analytics? How Does This Work In Business?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Replication can occur in bulk, in batches on a scheduled basis, or in real time across data centers and/or the cloud.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Actian

JUNE 4, 2019

The value of your company’s realized business insights is directly dependent on the quality of data with which you are working. To maximize your potential value, continuous data maintenance is needed. Learn about the benefits of deploying your own Data Warehouse in the cloud by downloading the whitepaper here.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Whizlabs

APRIL 19, 2021

Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. As a Chief Customer Officer, she is expert in cloud-based subscription models, automation and data analytics to drive customer adoption of software and reduce churn.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements. Data Team: Certainly, but let’s not forget governance too.

Government 105

Government Visualization Embedded Analytics Agile 105

Insight Software

FEBRUARY 5, 2024

Angles Enterprise for SAP Flyover Demo Download Now Angles for SAP Will Future-Proof Your Business Angles for SAP provides multinational organizations with complex supply chains the necessary tools to cleanse their SAP data, find pollution, and address bottlenecks.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

APRIL 26, 2022

Finance teams using D365 F&SCM have expressed a strong desire for easy, seamless integration between Microsoft Excel and D365 F&SCM that goes beyond simple pivot tables and into full featured complete reporting capabilities with built-in content and data models. Easy, Excel-Based Reporting Built for Microsoft D365 F&SCM.

IBM Maintenance 52

IBM Maintenance IBM cost Supply Chain IBM Support 52

Insight Software

MAY 6, 2022

Unlock Rapid Data Analysis in PowerBI With Jet. If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics data model can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Data models must be refreshed either manually or on a set schedule.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support IBM cost 52

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. These connect to uncommon or proprietary data sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52

Insight Software

JUNE 9, 2022

Angles for Oracle delivers a context-aware, process-rich business data model, with a library of 1,800 pre-built, no-code business reports, and a high-performance process analytics engine for Oracle Business Applications, including EBS and OCA. Cloud data replication. Bidirectional synchronization.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Data Warehouse 52