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 Government Data Warehouse 52

Data Pine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Download our free guide!

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

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

Ntara

DECEMBER 11, 2020

What is digital transformation? Digital transformation is the strategic commitment to embrace and update digital applications, processes, and experiences throughout your organization. Digital transformation looks different for every company. What does a digital transformation agency do?

Digital Transformation 52

Digital Transformation Digital Customer Experience Customer Experience 52

Data Pine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! Once companies gain regular insights into their KPIs, they see deeper into their data and generate actionable insight. That interactivity is indeed what drives a profitable result by visually depict important data which can be accessed by different departments.

Supply Chain 105

Supply Chain Logistics Retail Visualization 105

Data Pine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Big Data 87

Big Data Visualization Data Visualization Data Analytics 87

Data Pine

JANUARY 6, 2022

4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. minimal growth).

Visualization 98

Visualization Data Visualization Digital Monitoring 98

Data Pine

APRIL 23, 2019

Studies suggest that by 2020, customer experience (CX) will be the main brand differentiator (according to a research conducted by the customer experience consultant company Walker), surpassing factors such as price and product in terms of importance to today’s digitally native consumers. What Is A Helpdesk KPI? ” – Jeff Bezos.

Customer Experience 67

Customer Experience Customer Experience Visualization Digital 67

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Download our pocket-sized summary and improve your operations! Still unsure?

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Astera

APRIL 18, 2024

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. It operates under a well-structured governance framework, ensuring accountability and consistency in data management.

Data Quality 52

Data Quality Government Data Governance Data Security 52

Data Pine

FEBRUARY 18, 2020

In our data-driven digital age, ‘business intelligent’ organizations with the ability to collate, organize, and leverage the insights that are most valuable to their ongoing commercial goals are the ones that are destined to thrive in the long-term. Download: A pocket-sized guide to invaluable financial graphs and charts.

Procurement 80

Procurement Visualization Finance Data Visualization 80

Astera

FEBRUARY 29, 2024

When claims are processed manually, they are at a higher risk of human error and accidental data loss during handling. However, automation reduces such risks as these procedures implement standardized processes and protocols data management and preservation. Download your free trial today. Download Now

Talent Acquisition 52

Talent Acquisition Documentation Agile Digital 52

Astera

JUNE 3, 2024

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 data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Data Pine

NOVEMBER 13, 2019

Fortunately, we live in a digital age rife with statistics, data, and insights that give us the power to spot potential issues and inefficiencies within the business. Download our guide to find out about the power of procurement reports! Download our guide to find out about the power of procurement reports!

Procurement 63

Procurement Monitoring Digital Visualization 63

Data Pine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

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

JUNE 21, 2024

By providing standardized interfaces for communication, APIs enable seamless integration between cloud-based and on-premise applications, creating a unified digital ecosystem. APIs play a critical role in this process by acting as the connective tissue between various digital tools and data sources. Start a Free Trial

Real-time Data 52

Real-time Data Innovation Monitoring Data Architecture 52

Actian

JUNE 6, 2019

Gartner specifies that a true HIP should support: PERSONAS (constituents): Integration specialists, ad hoc integrators, citizen integrators and digital integrators. INTEGRATION DOMAINS: Application, data, B2B and process. Please click on this link to download this checklist.

Cloud Computing 40

Cloud Computing Planning Digital Data Management 40

Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Actian cloud-based data management platforms can help. To learn more, download the Actian Federated Query solution brief linked here.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Domo

DECEMBER 6, 2019

2 – Leadership must come from the very top Those of you who attended our recent Reimagine series will be familiar with our Digital Transformation Journey Map and the need for visionary leadership to engage in actual transformation. For more from the IT leadership session, download and read the whitepaper here.

Digital Transformation 52

Digital Transformation Vision Digital Artificial Intelligence 52

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

Astera

OCTOBER 7, 2022

Modern enterprises continue to embrace digital transformation at scale — with business analytics at the forefront of this revolution. Across industries, organizations generate a massive volume of data. CHECK OUT: Aclaimant Completely Eliminates Manual Transcription from its Claims Data Management Process.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Documentation 52

Astera

JUNE 14, 2023

Marketplace Model: Digital platforms like Alibaba and Amazon Business connect buyers and sellers for streamlined transactions. Enable B2B Data Integration Process With No-Code Tool Download Trial The Tools That Make up Astera Data Stack Astera Data Stack is a collection of five powerful tools that simplify B2B integration and data management.

Procurement 40

Procurement Data Security Monitoring Retail 40

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. They enable organizations to derive maximum value from their data assets.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Domo

OCTOBER 9, 2019

Ryan is the company’s Chief Privacy & Data Protection Officer. As the adoption of digital technologies becomes more widespread, and talk of more regulatory oversight in the U.S. Q: What are the greatest data management challenges facing large organizations conducting business across the world?

Government 52

Government Cybersecurity Data Governance Data Management 52

Astera

DECEMBER 21, 2022

According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 As more businesses embrace digital transformation, data warehousing will play a significant role in the development of an enterprise-scale data management ecosystem for real-time reporting and analytics. billion by 2026.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Ntara

SEPTEMBER 17, 2019

5 Things to know about dirty data. Managing enterprise product data is no small feat. It’s easy for your product data to become outdated, duplicated, and erroneous. We shared five critical tips about product information management at PIMPoint 2019. INtegrated Marketing Manager. Download presentation.

Retail 40

Retail User Experience Business Analysis Business Analysis 40

Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Astera

APRIL 10, 2023

From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. However, with monumental volumes of data come significant challenges, making big data integration essential in data management solutions.

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 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

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

Astera

NOVEMBER 23, 2023

Cloud adoption has risen significantly in the past few years due to digital transformation initiatives. This streamlined automation enhances efficiency and reduces the risk of errors, which makes data management more accurate and reliable. predicts that by 2025, over 85% of organizations will adopt a cloud-first principle.

Cloud Computing 40

Cloud Computing Digital Transformation Agile Data Management 40

Astera

JUNE 28, 2023

Revolutionize Your Law Firm’s Workflow in the Digital Age of Legal Document Management In the information age, legal firms find themselves navigating through an ocean of documents. Workflow Automation : Automates extraction tasks on a schedule, minimizing manual oversight and ensuring up-to-date data availability.

Documentation 40

Documentation Digital Data Management Planning 40

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. Types of metadata. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

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. appeared first on Actian.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40