The Data Administration Newsletter

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Data Modelling 52

Data Modelling Master Data Management Data Governance Data Management 52

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

Astera

FEBRUARY 1, 2024

Data modeling 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 data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

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

ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Whizlabs

APRIL 19, 2021

His blog Rick’s Cloud recently celebrated 10 years of cloud computing. When we look back, it’s quite interesting to see how technology has developed over the past decade, and Rick’s Cloud is a testimony of all these changes” – He said in his blog post named Rick’s Cloud – 10 years of Cloud Computing.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 5: Augmented data management.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

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? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

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? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

Master Data Management 130

Master Data Management Data Management Data Quality Data Governance 130

Sisense

APRIL 10, 2020

Healthy Data is your window into how data is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

Visualization 105

Visualization Data Modelling Healthcare Government 105

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

Astera

NOVEMBER 28, 2022

In today’s digitized era, organizations must adapt to the evolving data infrastructure needs to keep up with the technological-driven innovations. Does that mean it’s the end of data warehousing? Data warehouses will play a crucial role in data management — perhaps more than ever. Far from it!

Data Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 52

The BAWorld

MARCH 13, 2024

Research conducted by the Project Management Institute, reveals that in significant organizations, specialists dedicate approximately 83% of their time to applying and executing various business analysis methodologies. Data Modeling: Building the Information Backbone Data fuels decision-making.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This allows them to tailor policies and services accordingly.

Documentation 52

Documentation Customer Experience Customer Experience Data Modelling 52

Astera

OCTOBER 1, 2022

In this blog, we’ll talk about database design, its importance, lifecycle, and techniques, along with the key steps you can take to develop a robust database design for your enterprise. Database design is a collection of steps that help create, implement, and maintain a business’s data management systems. 2- Database designing.

Retail 75

Retail Planning Data Management Government 75

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It has some key differences in terms of data loading, data modeling, and data agility.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

The BAWorld

MARCH 15, 2024

You can employ the concepts of probability and statistics to: Detect patterns in data. DATA MANAGEMENT Data management is about collecting, organizing and storing data in an efficient manner with security considerations and within budget limits. Avoid bias, fallacy and logical error while analyzing it.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

SEPTEMBER 25, 2024

Add to that data velocity , variety , and veracity (the four Vs), and it becomes clear that conventional ETL needs to evolve to keep up with the data explosion. That’s where automated ETL comes in to modernize data management. Have a chat with us to see if your data is ready for automation.

Data Modelling 52

Data Modelling Real-time Data Vision Business Intelligence 52

Domo

OCTOBER 22, 2021

Using a data fabric solution, you can essentially stitch together various data tools to include a consistent set of capabilities and functionality. Ideally, CIOs and data practitioners get the full functionality of a unified BI architecture without having to move any data out of a cloud data warehouse (CDW).

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Data Pine

MARCH 25, 2022

BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. Data modeling: Marketers or analysts can use data modeling to assess the success of marketing campaigns and find improvement opportunities. What Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This allows them to tailor policies and services accordingly.

Documentation 40

Documentation Customer Experience Customer Experience Data Modelling 40

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. Agile connectivity minimizes manual interventions and improves data accessibility.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

NOVEMBER 17, 2022

Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. Building a star schema from scratch using an OLTP system as a starting point can be challenging and time-consuming.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Management 52

Astera

AUGUST 30, 2024

In this blog, you will learn about on-premise to cloud migration, its different types, challenges, and best practices. An on-premise to cloud migration entails moving infrastructure and data from an on-premise system (third-party data centers or infrastructure housed locally) to the cloud (public, private, or hybrid).

Data Governance 52

Data Governance Government Data Quality Documentation 52

Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. However, the ideal data modeling technique for your data warehouse might differ based on your requirements.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Tableau

OCTOBER 8, 2024

This means we can harness AI to help tackle the most common and pressing data and analytics challengesincluding fragmented data landscapes, a lack of trust in data, overlooked insights, and the reusability of analytics assetsin one platform. Learn more about how were addressing these challenges in our blog, What is Tableau Next?

Innovation 52

Innovation Retail Vision Data Visualization 52

Tableau

OCTOBER 8, 2024

This means we can harness AI to help tackle the most common and pressing data and analytics challenges—including fragmented data landscapes, a lack of trust in data, overlooked insights, and the reusability of analytics assets—in one platform. and see Tableau Einstein in action by watching our keynote at Dreamforce 2024.

Innovation 52

Innovation Retail Vision Data Visualization 52