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

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). Why operational technology data management may never be standardized. The biggest challenge to standardizing OT data management is managing change.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Whizlabs

APRIL 19, 2021

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Lori’s must read blogs are The Third Wave of Cloud is Cresting , The Fourth Wave of Cloud is Imminent and Will the Emerging Edge Fix My Digital Gaming Experience? Follow Lori MacVittie on Twitter , LinkedIn , and Blog/Website.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

NOVEMBER 28, 2022

But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. 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 Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 52

Marutitech

NOVEMBER 13, 2020

Some of these include automating processes, accelerating digital transformation, and meeting business demands for development. One of the main factors for the rise of the low code development model is faster deliverability and better innovation. Provides the benefit of multiple payment levels and centralized data. ProcessMaker.

Visualization 98

Visualization User Experience Documentation Agile 98

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.

Business Intelligence 102

Business Intelligence Business Intelligence Government Visualization 102

Domo

AUGUST 4, 2023

The Constellation ShortList helps organizations narrow their search for the technologies they need to meet their digital transformation goals. The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList.

Embedded Analytics 52

Embedded Analytics Business Intelligence Business Intelligence Digital Transformation 52

Actian

JULY 29, 2019

Your company has competing data needs. You need IT systems optimized for real-time transaction processing to serve as the engine for digitally transformed business processes. You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

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

Domo

OCTOBER 22, 2021

It’s much easier said than done to break down data silos and to make processes more agile and nimble across a variety of stakeholder groups—mainly because each respective organization is centrally managed, but also because of the era we are in. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

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 Data Quality Cloud Computing Monitoring 52

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 Data Quality Cloud Computing Monitoring 52

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you. The problems with homegrown PIM.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you. The problems with homegrown PIM.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 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

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. It’s fair, given the unstructured data may hold valuable insights to augment a business’s market competitiveness.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 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

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

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

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. Concurrency problems and incomplete transactions lead to data corruption.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

JUNE 14, 2023

Here are seven major models: Manufacturer/Distributor Model: Manufacturers produce goods while distributors sell and distribute them. Supplier/Procurement Model: Suppliers provide goods or services to meet business procurement needs. DWBuilder : It simplifies the process of building and maintaining data warehouses.

Procurement 40

Procurement Data Security Monitoring Retail 40

Data Pine

MARCH 31, 2022

Here, we will answer all of these questions and more, starting with the reasons to migrate toward one of the exciting jobs that companies are currently offering in the digital world. For instance, you will learn valuable communication and problem-solving skills, as well as business and data management.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Actian

JUNE 4, 2019

The value of your company’s realized business insights is directly dependent on the quality of data with which you are working. To maximize your potential value, continuous data maintenance is needed. Learn about the benefits of deploying your own Data Warehouse in the cloud by downloading the whitepaper here.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Sisense

SEPTEMBER 3, 2020

In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Selecting and implementing a new BI and analytics platform is a big decision and can be a vital part of an organization’s digital transformation.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Collaboration and Cross-Functionality While both approaches encourage collaboration among data professionals, Data Vault does not inherently emphasize cross-functional teams.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Analysts Corner

JANUARY 6, 2025

Pawlowski , a digital advisor, reminds us that robots currently face difficulties in adapting and mostly cannot go beyond their predefined scripts. flexible grippers and tactile arrays that can improve handling of varied objects); substantial investments in data management and governance; the development of new types of hardware (e.g.,

Government 130

Government Digital Artificial Intelligence Healthcare 130

Insight Software

MARCH 31, 2025

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. I understand that I can withdraw my consent at any time.

IBM Maintenance 52

IBM Maintenance IBM Support Finance IBM cost 52

Insight Software

MAY 1, 2023

Strategic Objective Enjoy the ultimate flexibility in data sourcing through APIs or plug-ins. These connect to uncommon or proprietary data sources. Requirement Data APIs and Plug-Ins Coded in your language of choice, these provide customized data access. Look for the ability to parameterize and tokenize.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

AUGUST 20, 2024

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 data models, Jet Reports works directly with the BC data model. This means you get real-time, accurate data without the headaches.

IBM Support 52

IBM Support IBM Maintenance Finance IBM cost 52

Insight Software

FEBRUARY 20, 2024

As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. Dealing with multiple siloed operational data sources is killing your operational team’s productivity.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

FEBRUARY 23, 2024

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.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

MAY 3, 2021

Jet Analytics enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or data models 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.

IBM Support 98

IBM Support IBM Maintenance Finance Data Warehouse 98

Insight Software

AUGUST 15, 2024

In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on Master Data Management (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.

IBM Maintenance 52

IBM Maintenance IBM Support Data Governance Government 52