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

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

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

Data Pine

MAY 9, 2019

In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. They enable powerful data visualization. .” – Geoffrey Moore, management consultant, and author. Experts Have Better Pattern Recognition.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Insight Software

JANUARY 20, 2021

Data, Data, and More Data. Add web analytics, digital marketing automation, and social media to the mix, and the volume of data grows even further. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable. Using Jet Analytics for Data Management.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Domo

JULY 28, 2022

Domo recently sat down with Ron Kost, Trimble’s director of business intelligence (BI), to better understand his company’s journey with Domo Everywhere , the embedded analytics tool that helps organizations quickly and easily share data with partners and automate routine tasks. And we wanted to bring our own data engineering group.

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 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. 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 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. 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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Data Pine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Astera

DECEMBER 3, 2024

Logistics document processing still faces many challenges The shift from paper-based processes to digital documentation has automated many repetitive tasks in the logistics and transportation industry. Seamless integration and interoperability IDP platforms offer the ability to transport data to its intended recipient.

Logistics 52

Logistics Documentation Supply Chain Artificial Intelligence 52

Domo

JULY 31, 2019

Simply put, AR is a group of technologies that let you overlay digital items (data, images, objects and documents) onto the physical world. 5 AR isn’t meant to live in your pocket; it’s meant to overlay the real world with helpful data. You shower them with nutritional data, health studies, and a scheduled regimen.

Retail 52

Retail Planning E-Commerce Digital Transformation 52

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 98

Chief Data Officer Supply Chain Government Data Architecture 98

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 95

Chief Data Officer Supply Chain Government Data Architecture 95

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. 12) “Too Big To Ignore: The Business Case For Big Data” by Phil Simon.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Insight Software

JANUARY 6, 2021

Microsoft plans to support its legacy products for at least until 2028, but the company’s future investments in improved functionality will focus on the two new Microsoft D365 products. By allowing enough time for detailed planning and analysis, organizations can more thoroughly assess their specific needs.

Supply Chain 98

Supply Chain Finance Planning Data Warehouse 98

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 Data Quality Cloud Computing 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 Data Quality Cloud Computing 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

Whizlabs

APRIL 22, 2021

The importance of data is undeniable in the year 2021. This year is a digital age, and your business needs to implement strategies to make use of available data and reports for further productivity planning. Single Platform Can Handle All Business Processes.

Data Warehouse 88

Data Warehouse Data Automation Data Modelling Planning 88

Domo

JANUARY 9, 2013

If you’re already feeling guilty about your New Year’s diet plan, try some of these cloud BI resolutions on for size: “I will get my data in real time.” If you’re running your business month-to-month or even week-to-week in the digital world, you are missing key opportunities that don’t come back. Data warehouses are dead.

Data Warehouse 52

Data Warehouse Data Visualization Business Intelligence Business Intelligence 52

Insight Software

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Social media and digital marketing data, for example, might not have been preserved in the past. The Future Is Now.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Warehouse 52

Actian

AUGUST 19, 2019

Yes, it’s great that you can move IoT data to the cloud for processing, but it is never a good strategy to do something for the sake of doing it – there should be a purpose. In the case of IoT data, that purpose is to enable decision-making – either strategic or operational. Drawbacks to moving your IoT data to the cloud.

Data Warehouse 45

Data Warehouse Digital Transformation Digital Agile 45

Astera

FEBRUARY 20, 2023

Consolidated, high-quality data allows healthcare organizations to make informed crisis-response decisions—ensuring optimal care for patients and safety for frontline workers. Data Privacy and Security Medical providers face significant data privacy and security challenges when integrating healthcare data.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Actian

JULY 31, 2019

At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 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. The customizability of PIM.

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. The customizability of PIM.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Inflexion Analytics

JULY 23, 2021

Now it’s time for the smaller farms to embrace the digital transformation. Large economic potential is linked to big data. And we think it can secure the fortunes of a new generation of digitally savvy farming professionals—as long as you know what it can do and how you can use it. Building a profitable farm business.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Actian

AUGUST 19, 2019

Yes, it’s great that you can move IoT data to the cloud for processing, but it is never a good strategy to do something for the sake of doing it – there should be a purpose. In the case of IoT data, that purpose is to enable decision-making – either strategic or operational. Drawbacks to moving your IoT data to the cloud.

Data Warehouse 8

Data Warehouse Digital Transformation Digital Agile 8

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

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. That quality is necessary to fulfill the needs of an organization in terms of operations, planning, and decision-making.

Data Quality 96

Data Quality Monitoring Big Data Government 96

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. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

AUGUST 16, 2024

Data migration is the process of selecting, extracting, preparing, and transforming data, followed by a permanent transfer to a new destination. The new destination can be a new file format, location, storage system, computing environment, database, or data center. Improper planning can lead to data corruption or loss.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

AUGUST 13, 2024

It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digital transformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52