Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

Business Intelligence 95

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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. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

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Domo

JULY 23, 2024

Despite advancements in data engineering and predictive modeling, chief information officers (CIOs) face the tough challenge of making data accessible and breaking down silos that hinder progress. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

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

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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 Management 203

Data Management Data Warehouse Master Data Management Digital Transformation 203

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.

Digital Transformation 98

Digital Transformation Data Warehouse Embedded Analytics Artificial Intelligence 98

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Structured vs unstructured data.

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Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Actian

FEBRUARY 6, 2020

Organizations are being engulfed in a growing volume of data from a variety of sources. Some of the data is transactional, but most of it is what are called event streams – digital records of things taking place in the applications and devices that make up the IT ecosystem. What is Stream Data Integration?

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

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

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

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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. “Data is what you need to do analytics.

Business Intelligence 117

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Insight Software

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Documentation Business Intelligence Business Intelligence 98

Sisense

OCTOBER 10, 2019

It can’t be overstated: the rise of cloud storage and computing changed everything for companies and data engineers alike, and it’s never going back. Engineers were always most concerned with connecting data services to analytics and business intelligence software or whatever other systems needed to use that data.

Data Warehouse 60

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 60

Data Pine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. Data integration. Data storage.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

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

DECEMBER 21, 2022

These agreements are generally in the form of unstructured PDFs – a mix of free text and tabular data. Extracting insights from data, especially PDFs, is challenging, as unstructured data sets are human-readable and machines require structured information to process it digitally for further analyses or integration with other IT applications.

Data Mining 52

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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

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. All of our experience has taught us that data analysis is only as good as the questions you ask. It’s crucial to know what data analysis questions you want to ask from the get-go.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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 Warehouse.

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 Warehouse.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

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. Why Do You Need Data Quality Management? Industry-wide, the positive ROI on quality data is well understood.

Data Quality 96

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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

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Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. What is ETL? Let’s break down each step: 1.

Data Warehouse 204

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Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

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. Q: What was your initial use case?

Embedded Analytics 98

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Astera

NOVEMBER 28, 2022

Data warehouses have long served as a single source of truth for data-driven companies. But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. Does that mean it’s the end of data warehousing? Does that mean it’s the end of data warehousing?

Data Warehouse 52

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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.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 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

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Sisense

FEBRUARY 24, 2021

Challenge: CDOs need to provide a 360-degree view of data across multiple data silos and types of data sitting on the cloud, on-premises, or even in local drives. Many large organizations either have a central data warehouse or are in the process of creating one.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Astera

FEBRUARY 20, 2023

Data Privacy and Security Medical providers face significant data privacy and security challenges when integrating healthcare data. Patient health information is highly sensitive and requires robust protection from unauthorized access and data breaches.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Astera

JUNE 3, 2024

These databases typically support features like inheritance, polymorphism, and encapsulation and are best for applications like computer-aided design (CAD), multimedia projects and applications, software development, digital media, and gaming. These are some of the most common databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. 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.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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 275

Monitoring E-Commerce Data Warehouse Data Security 275

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

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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. These insights allow cost-saving costs and enhanced data warehouse efficiency.

Government 52

Government Data Governance Master Data Management Documentation 52