Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Bronwen Boyd.

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

Domo

JULY 8, 2021

Since the introduction of the cloud, a steady stream of companies has opted to move its most sensitive data from on-premises to remote storage, making it available from anywhere and in real time. Even the world’s most conservative companies have gotten in on the act, as digital has found an increasingly important role across industries.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Digital Transformation 246

Digital Transformation Digital Data Management Data Warehouse 246

Domo

JULY 1, 2021

In a time when everyone is trying to realize the promise of digital transformation, many organizations are migrating their infrastructure to the cloud. One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. There’s also the issue of scale.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Tableau

FEBRUARY 14, 2022

As the pandemic has accelerated digital transformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse.

Chief Data Officer 74

Chief Data Officer Supply Chain Government Data Architecture 74

Tableau

FEBRUARY 14, 2022

As the pandemic has accelerated digital transformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse.

Chief Data Officer 72

Chief Data Officer Supply Chain Government Data Architecture 72

Astera

NOVEMBER 16, 2022

The rapid advancements in digitization and the consequent data explosion have forced businesses to look beyond traditional data infrastructures. As companies opt for off-premise solutions, cloud data migration is on the rise. Evaluate the location of your data. Image Source: Avi Networks.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Astera

OCTOBER 31, 2023

Therefore, many question the wisdom of asking highly skilled data scientists to do the equivalent of digital janitorial work. [Data Preparation Challenges via Statista ] Why is Data Preparation Necessary ? Raw data is messy, incomplete, and inconsistent.

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Why Do You Need Data Quality Management? Industry-wide, the positive ROI on quality data is well understood.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

BizAcuity

APRIL 14, 2022

Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Domo

JUNE 15, 2022

And thanks to Domo’s Data Governance Toolkit , you can maintain data health and accuracy, no matter where it goes. . Here’s a more detailed look at the primary ways Domo’s multi-cloud capabilities can benefit your business: 1 – Integrate more data, faster.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 14, 2024

Preservation metadata: preserves data for long-term access, ensuring it remains usable over time by providing information for future care. Examples include backup location, migration history (format changes), and digital signatures. These insights allow cost-saving costs and enhanced data warehouse efficiency.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

NOVEMBER 28, 2023

Data plays a significant role in business growth and digital initiatives for approximately 94% of enterprises. However, the full potential of these data assets often remains untapped, primarily due to the scattered nature of the data.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Actian

OCTOBER 28, 2019

Your leaders understand this, which is why they are placing so much pressure on IT and business groups to accelerate digital transformation to leverage technology in new ways and deploy modern capabilities like Integrated Platform as a Service (IPaaS) to support this rapidly changing environment. Data flow orchestration. Ease of use.

Innovation 8

Innovation Data Warehouse Digital Transformation Agile 8

Domo

MAY 24, 2021

This makes it difficult to scale operations or change how the data is stored and shared. Companies that have focused on digital transformation and moving to the cloud have often been hampered by working with these legacy systems and end up transferring the duct-taped methodology for storage into the cloud.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

JUNE 3, 2024

These databases typically support features like inheritance, polymorphism, and encapsulation and are best for applications like computer-aided design (CAD), multimedia projects and applications, software development, digital media, and gaming. These are some of the most common databases. Learn more about different types of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

OCTOBER 10, 2023

These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. Data Governance: Data mapping tools provide features for data governance, including version control and data quality monitoring. Jitterbit is also deployable on the cloud.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost 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

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. Challenge # 2: Accessing Siloed Data. Enter cloud-based storage.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Sisense

OCTOBER 14, 2020

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. In the healthcare sector, the pandemic has caused unprecedented challenges in patient care.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

MindsMapped

JULY 18, 2020

Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Earlier, analytics across the web, app, and digital marketing channels had no formal process and were often added as an afterthought or forgotten completely.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. Data governance and compliance become a constant juggling act. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

IBM Maintenance 52

IBM Maintenance Data Management IBM Support Data Governance 52

Insight Software

DECEMBER 4, 2023

Insufficient functionality and dashboards – ISVs face demands from their users to uplevel their reporting (e.g., better drill down, more filtering options, real-time, self-service capabilities, exporting etc.). I understand that I can withdraw my consent at any time.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Supply Chain 52

Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control.

Data Quality 98

Data Quality IBM Maintenance IBM Support Finance 98

Insight Software

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52