Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

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

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. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Connect and manage disparate data securely.

Data Warehouse 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

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. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Connect and manage disparate data securely.

Data Warehouse 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Smart Data Collective

JULY 20, 2021

Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Big Data 352

Big Data Documentation Logistics Data Warehouse 352

Actian

JANUARY 15, 2020

You’ve gone through digital transformation – now what? IT and business leaders are learning quickly that digital transformation is only one of many steps on the journey towards operational optimization. Once you have your people and processes in order, it’s time to shift focus towards your data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

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

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 Warehouse.

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 Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Actian

AUGUST 19, 2019

When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Two common questions IT staff and data management professionals have been asking during the past few years are: “Does it make sense to push all your IoT data to the cloud?”

Data Warehouse 45

Data Warehouse Digital Transformation Digital Agile 45

Actian

JUNE 17, 2019

“We have more data than we know what to do with.”. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others. With digital transformation of business processes, even more data is being generated about operational processes.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40

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 73

Chief Data Officer Supply Chain Government Data Architecture 73

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 71

Chief Data Officer Supply Chain Government Data Architecture 71

Astera

DECEMBER 21, 2022

Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 It is high time you explore which solutions can help you optimize your data warehousing system. billion by 2026.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 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. What is a Data Warehouse?

Data Warehouse 40

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

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Actian

FEBRUARY 25, 2020

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 data management systems. The IT industry is changing rapidly, and there are 4 key emerging technology trends that data management and IT professionals should be monitoring closely.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Domo

MAY 13, 2021

Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

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 Data Warehouse 52

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. Image Source: Avi Networks. Why are Businesses increasingly opting for Hybrid Cloud Integration?

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

BizAcuity

APRIL 14, 2022

Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. With the amount of data being accumulated, it is easier when said.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. Limitations of Current Methods. GRAPH processing In Rhodium.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Actian

JULY 16, 2019

As companies embark on digital-transformation journeys, they expect IoT to be one of the key technologies to serve as a source of new operational insights and performance gains. IoT data Integration and Digital Transformation. The Value of an Integration Platform for IoT Solutions.

Digital Transformation 40

Digital Transformation Data Warehouse Real-time Data Monitoring 40

Actian

SEPTEMBER 12, 2019

Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

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

Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

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

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. Five Best Practices for Data Analytics.

Visualization 334

Visualization Data Analytics Data Analytics Artificial Intelligence 334

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

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. Embedded and Edge Processing of Streaming Data.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40