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Welcome to the first Book of the Month for 2025.This This time, well be going over DataModels for Banking, Finance, and Insurance by Claire L. This book arms the reader with a set of best practices and datamodels to help implement solutions in the banking, finance, and insurance industries.
Larry Burns’ latest book, DataModel Storytelling, is all about maximizing the value of datamodeling and keeping datamodels (and datamodelers) relevant. Larry Burns is an employee for a large US manufacturer.
It lets me discuss what I learned from a newly released datamanagementbook. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. I love writing this column for TDAN. But when I write this column, I see the manuscript through the eyes of a […]
Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for both pleasure and to learn new things. One exception is Telling Your Data Story: Data […].
Why would Technics Publications publish a book outside its specialty of datamanagement? First, Graham is a world-renowned datamodeler and the author of DataModeling for Quality, and therefore many of his examples are in the field of datamanagement. Second, and more […]
Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The DataModeling Addict column years before that.
Doug has spoken many times at our DataModeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].
Bounded Contexts / Ubiquitous Language My new book, DataModel Storytelling,[i] contains a section describing some of the most significant challenges datamodelers and other Data professionals face. Like most of its predecessors, including Agile development and […].
My new book, DataModel Storytelling[i], describes how datamodels can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), The book describes, […].
Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.
Datamodeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of datamodeling, including its importance, types , and best practices. What is a DataModel?
Billion by 2026 , showing the crucial role of health datamanagement in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern datamanagement solutions to enable accurate reporting and business intelligence (BI) initiatives.
Roger has expertise in business process management, but has deep and vast knowledge of all facets of an organization’s business architecture. I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all of the areas fit together. Roger Burlton is one of those people. It is […].
David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Jason is the author or coauthor of four books – The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! He is currently working on his next book – Agile Digital Transformation.
Provides the benefit of multiple payment levels and centralized data. Offers great speed and automated datamanagement. Offers declarative datamodeling. Offer various functionalities such as deployment settings, app preview, deployment logs, and datamodels. Pros: Excellent CRM capabilities.
While the importance of HIE is clearly visible, now the important question is how hospitals can collaborate to form an HIE and how the HIE will consolidate data from disparate patient information sources. This brings us to the important discussion of HIE datamodels. HIE DataModels. The two models are.
Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee datamanagement practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.
Some exciting technology trends are emerging that are projected to hit the mainstream over the next few years that will have a significant impact on your datamanagement systems. The IT industry is changing rapidly, and there are 4 key emerging technology trends that datamanagement and IT professionals should be monitoring closely.
For instance, you will learn valuable communication and problem-solving skills, as well as business and datamanagement. 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 Job Roles.
Data Migrations Made Efficient with ADP Accelerator Astera Data Pipeline Accelerator increases efficiency by 90%. Try our automated, datamodel-driven solution for fast, seamless, and effortless data migrations. Automate your migration journey with our holistic, datamodel-driven solution.
So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern datamanagement. This allows data to be retrieved from various tables when needed, based on the established relationships.
And as the data landscape becomes increasingly more complex as technology continues to evolve, a robust reporting solution for your Oracle ERP becomes even more critical. insightsoftwares Reporting for Oracle helps simplify the process.
Its seamless integration into the ERP system eliminates many of the common technical challenges associated with software implementation; unlike other tools that make you customize datamodels, Jet Reports works directly with the BC datamodel. This means you get real-time, accurate data without the headaches.
Jet Analytics enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or datamodels structured so that business users can access the information they need without having to understand the complexities of the underlying database structure. Increased Data Accuracy.
These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP datamanagement to ensure data reliability and effectiveness in decision-making.
Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP datamodels are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to a datamodel often require technical support including, but not limited to, a forced reboot of connected applications.
This promotes data consistency and eliminates the need for manual data reconciliation. Enhanced Efficiency and Cost Savings: Automation: Teams can gain refreshable, drillable reports and close the books faster, leading to more time for insights and analysis.
In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on Master DataManagement (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.
Organizations seeking cloud migration must recalibrate processes, reconfigure datamodels, and adapt to a new interface and functionality. Process Runner : Overcome your reliance on IT with a tool that makes SAP datamanagement fast and easy.
Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? DataManagement 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?
To facilitate employee retention and develop desired SAP datamanagement skills within your team, you must first free up your finance team’s time, and then be very deliberate about using that extra time to develop and deepen their skill sets. Accelerate financial reporting with real-time data in excel.
AI can also be used for master datamanagement by finding master data, onboarding it, finding anomalies, automating master datamodeling, and improving data governance efficiency. It automates data downloads and uploads for any SAP module, including FI/CO, SD, HR/HCM, MM, and PP.
Unlock Rapid Data Analysis in PowerBI With Jet. If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics datamodel can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Datamodels must be refreshed either manually or on a set schedule.
The objective is clear: eradicate manual processes and static reports, gain oversight of supply chain data and generate insights that drive more business value. Dealing with multiple siloed operational data sources is killing your operational team’s productivity.
Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making.
Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting. Schedule a demo to see it in action today.
Your on-prem or cloud-hosted Jet Analytics implementation enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or datamodels.
Angles for Oracle delivers a powerful datamodel, library of pre-built, no code business reports and robust process analytics engine. Unlock the power of your enterprise data and gain actionable insights to make decisions with confidence in an uncertain and quickly changing world.
With the integrated platform, you get a powerful datamodel; a library of pre-built, no-code business reports; and a robust process analytics engine. This integrated solution helps you unlock your enterprise data and deliver actionable insights to support decisiveness in an uncertain and quickly changing world.
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 datamodels. Easy, Excel-Based Reporting Built for Microsoft D365 F&SCM.
In the early days of data warehousing technology, data warehouses were built around a single database. Since then, technology has improved in leaps and bounds and datamanagement has become more complicated. As a response to emerging technology, data lakes took off along with the rise of big data.
Its user-friendly drag-and-drop interfaces simplify datamanagement and report creation and do not require users to type code. With an intuitive data preparation automation and datamodeling solution, you get the tools to support all your reporting and analytics needs.
With advanced data analytics from Angles, organizations can prepare their data and supply chains for the future, including the vital task of reducing carbon emissions. Uncover hidden inefficiencies and optimize your supply chain for sustainability with Angles.
What are the best practices for analyzing cloud ERP data? DataManagement. 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? How can we rapidly build BI reports on cloud ERP data without any help from IT?
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