Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

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CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

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CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

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IBM Big Data Hub

AUGUST 4, 2023

Data democratization is often conflated with data transparency, which refers to processes that help ensure data accuracy and easy access to data regardless of its location or the application that created it. This lets users across the organization treat the data like a product with widespread access.

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Jet Global

JANUARY 17, 2022

Business intelligence requirements in this category may include dashboards and reports as well as the interactive and analytical functions users can perform. These are the diverse data requirements commonly evaluated by application providers: Data sources: Make sure your primary data source is supported by your BI solution.

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CIO Business Intelligence

FEBRUARY 20, 2024

Where all data – structured, semi-structured, and unstructured – is sourced, unified, and exploited in automated processes, AI tools and by highly skilled, but over-stretched, employees. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

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CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

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DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The past decades of enterprise data platform architectures can be summarized in 69 words. Introduction to Data Mesh. See the pattern? Source: Thoughtworks.

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CIO Business Intelligence

JULY 28, 2023

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

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CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

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Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Companies looking to do more with data and insights need an effective EDM setup in place. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

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CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

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David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

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CIO Business Intelligence

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization.

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Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

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IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

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IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

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CIO Business Intelligence

SEPTEMBER 14, 2023

These include: Generalist: Data engineers who typically work for small teams or small companies wear many hats as one of the few “data-focused” people in the company. These generalists are often responsible for every step of the data process, from managing data to analyzing it.

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AWS Big Data

APRIL 17, 2024

Managed model In this model, the AaaS provider ingests customer data in their own account, and engages their own Redshift data warehouse for processing. The following diagram illustrates the managed delivery model and the various methods AaaS providers can use to deliver insights to their customers.

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Cloudera

DECEMBER 1, 2023

Government agencies are actively exploring the use of AI for various applications, such as personalized citizen services, fraud detection, and smart infrastructure management. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

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Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

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Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

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CIO Business Intelligence

SEPTEMBER 20, 2023

“The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. I’ve been on the company’s management committee for 14 years and I’ve had roles in various departments.

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CIO Business Intelligence

MAY 15, 2024

The ability to leverage data to understand and plan for those behaviors is extremely important. How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it.

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Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

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CIO Business Intelligence

NOVEMBER 25, 2022

Now Agusti, who began her Carhartt tenure as a senior programmer analyst, is charged with leading the company’s transformation into its next phase, one that is accelerating daily with the barrage of complex technologies changing the global supply chain and business practices, Agusti says. We’re still in that journey.”

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Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

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CIO Business Intelligence

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

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CIO Business Intelligence

SEPTEMBER 26, 2023

It is high time to get serious about information management. Not information technology — information management. Time to create information strategies Every two or three years we are reminded how easy it is to destroy value via poor information management practices. Data Architecture, Data Management, Privacy

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Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

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BI-Survey

AUGUST 21, 2020

People from BI and analytics teams, business units, IT, corporate management and external consultant teams took part. A time-consuming development process and restricted support of self-service BI are the major drivers for modernizing the data warehouse.

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FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Operating across three layers—Data, Application, and Presentation—it ensures seamless accessibility and utilization for users across all levels.

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CIO Business Intelligence

NOVEMBER 21, 2022

Put simply, organizations with “better” data management and use it more effectively, win in the market. Mr. Thompson started the podcast with an example that drives home the differences between how data and currency are managed in companies today. Data Architecture The CIO knows this is not the case.

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Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. According to McKinsey , users often spend 30% of their time trying to find the right data. Data fabric does not replace data warehouses, data lakes, or data lakehouses.

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CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. But this is not your grandfather’s big data.

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