Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. Data transformation.

Data Management 244

Data Management Data Warehouse Master Data Management Digital Transformation 244

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 363

Visualization Data Analytics Data Analytics Artificial Intelligence 363

Smart Data Collective

JULY 9, 2023

ETL is a three-step process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target database or data warehouse. Extract The extraction phase involves retrieving data from diverse sources such as databases, spreadsheets, APIs, or other systems.

Data Warehouse 264

Data Warehouse Data Quality Data Analytics Data Analytics 264

Timo Elliott

OCTOBER 3, 2019

For example, Gerd Danner explained the digital core strategy of S/4HANA is key part of the journey, emphasizing that while the new platform gives you a lot more real-time analytic power, without any data duplication, you still need a data warehouse and analytics strategy over time and across different systems.

Data Warehouse 174

Data Warehouse Digital Transformation Innovation Digital 174

Dataversity

JUNE 2, 2023

If your enterprise is about to undertake a digital transformation (Dx) project, you should understand that these initiatives require a focus on more than the technology itself. appeared first on DATAVERSITY.

Digital Transformation 130

Digital Transformation Digital Cloud Computing Data Warehouse 130

Timo Elliott

MARCH 6, 2023

However, analysts say that 30% of digital transformation projects fail to deliver on their expected outcomes due to fragmentation in existing systems. To address this, a digital business platform is needed, which is a solid foundation of technology to enable agile and flexible innovation.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

Timo Elliott

JUNE 19, 2023

The first is the new digital opportunities. All of the statistics from IDC and the others show that there’s a massive market for digital services. 87% of CEOs say that they’re ready to invest more in digital business and services. The next area is data. There’s a huge disruption around data.

Innovation 264

Innovation Digital Transformation Digital Government 264

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 355

Big Data Documentation Logistics Data Warehouse 355

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 Government Data Governance 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 Government Data Governance 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 Government Data Governance 130

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. Business Context. Business Opportunity.

Innovation 264

Innovation Artificial Intelligence Data Warehouse Government 264

Smart Data Collective

FEBRUARY 20, 2022

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. What are the ties between DAM and data loss prevention (DLP) systems? How can database activity monitoring (DAM) tools help avoid these threats?

Monitoring 325

Monitoring E-Commerce Data Warehouse Data Security 325

Astera

FEBRUARY 28, 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

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

Government 145

Government Data Warehouse Data Governance Digital 145

Astera

DECEMBER 21, 2022

Data and analytics are indispensable for businesses to stay competitive in the market. 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 billion by 2026. Ease of Use.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Domo

JANUARY 7, 2025

Our AI agents dont just work as tools for simple tasks; they are your organizations digital dream team. These specialized digital experts are designed to proactively solve problems on your behalf. We need to start where every great AI solution begins: data. However, Domos AI agents are anything but the typical chatbot.

IBM Support 75

IBM Support IBM Maintenance Artificial Intelligence Data Warehouse 75

Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Cloud-based integration platforms and hybrid data warehouses are providing an answer to some of these challenges. Why are distributed queries problematic? How to address the distributed queries challenge?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 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

Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. You need a real-time connected data warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Domo

APRIL 30, 2021

Digital transformation efforts are placing a sharp focus on disparate data sources. As companies aim to speed business value, they’re realizing the need for data agility. But they’ve got a problem: Most data sits in segmented silos, warehouses, data lakes, databases, and even spreadsheets.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

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. Anatomy of Data Warehouse-as-a-Service.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

Actian

OCTOBER 29, 2019

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. Modern data warehouse solutions are mainstream tech. Data warehousing and analytics aren’t just about the warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Finance 40

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

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

ElegantJ BI

APRIL 22, 2021

Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills.

Data Warehouse 130

Data Warehouse Digital Transformation Predictive Analytics Business Intelligence 130

ElegantJ BI

APRIL 22, 2021

Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills.

Data Warehouse 130

Data Warehouse Digital Transformation Predictive Analytics Business Intelligence 130

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Your hybrid cloud data warehouse should support multi-cloud deployment. Storage needs grow incrementally over time as you produce more data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

Sisense

JANUARY 1, 2020

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. Yes — digital transformation.

Digital Transformation 98

Digital Transformation Data Warehouse Embedded Analytics Artificial Intelligence 98

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Thriving in a changing world: AI and multiple clouds.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

Sisense

MAY 21, 2020

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Sisense

APRIL 17, 2020

In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. However, what exactly a digital transformation looks like varies widely from company to company.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Actian

FEBRUARY 3, 2020

Why is this important you might ask, and what does it have to do with my data warehouse? Customers have realized that just like digital transformation is a journey and the shift to the cloud is a journey, the evolution of databases is a journey too. What Database Market Consolidation Means for Your Data Warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Big Data Digital 40

Actian

SEPTEMBER 11, 2019

In our last two blogs we looked at how to fully maximize the value of available data and how to leverage the right data for the right decision-making. This week, we’ll looking more broadly at the key challenges for IT decision-makers (ITDMs) seeking to adopt cloud data warehouse solutions. appeared first on Actian.

Data Warehouse 40

Data Warehouse Digital Transformation Data Analytics Data Analytics 40

Actian

SEPTEMBER 11, 2019

In our last two blogs we looked at how to fully maximize the value of available data and how to leverage the right data for the right decision-making. This week, we’ll looking more broadly at the key challenges for IT decision-makers (ITDMs) seeking to adopt cloud data warehouse solutions. appeared first on Actian.

Data Warehouse 8

Data Warehouse Digital Transformation Data Analytics Data Analytics 8

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98