Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Dataversity

AUGUST 16, 2023

Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

Dataversity

JUNE 14, 2024

The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights.

Digital Transformation 182

Digital Transformation Data Analytics Data Analytics Digital 182

Smart Data Collective

AUGUST 9, 2019

Chris Dyl, director of platform for Epic, referred to the company’s Amazon S3 deployment as its “data lake” during his talk at AWS Summit just this month. The reference is one piece of evidence that data lakes are not only useful pieces of data architecture but are also crucial building blocks.”.

Big Data 197

Big Data Data Architecture Data Analytics Data Analytics 197

Astera

MAY 31, 2024

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Dataversity

FEBRUARY 9, 2024

Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources.

Data Analytics 147

Data Analytics Data Analytics Data Architecture 147

Dataversity

FEBRUARY 24, 2021

Data fabrics are emerging as the most effective means of integrating data throughout the enterprise. They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […].

Data Modelling 162

Data Modelling Data Analytics Data Analytics Enterprise Architecture 162

Tableau

JULY 28, 2021

"Low-cost cloud object storage is increasingly making the cloud data lake the center of gravity for many organizations’ data architectures,” wrote Tomer Shiran, co-founder and CPO at Dremio. Get started using the native Dremio connector today.

Cloud Computing 98

Cloud Computing Data Architecture Data Analytics Data Analytics 98

Dataversity

FEBRUARY 14, 2022

As enterprises continue to struggle with the effects of the global pandemic, the modern data analytics stack is undergoing a shock of its own. Lower levels of the IT stack, which is to say, data centers, networks, raw storage and compute, are […]. The world has changed, and we’re living in a new hybrid multicloud reality.

Data Analytics 130

Data Analytics Data Analytics Data Architecture 130

Dataversity

APRIL 29, 2022

One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Data Architecture 130

Dataversity

JUNE 5, 2024

Artificial intelligence and data analytics are at the forefront of the digital age, bringing with them a rise in data processing and a surge in energy consumption. Data centers worldwide are modifying their infrastructure to meet the demands of the surge.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Digital 130

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key.

Chief Data Officer 97

Chief Data Officer Government Data Discovery Data Analytics 97

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key.

Chief Data Officer 95

Chief Data Officer Government Data Discovery Data Analytics 95

Astera

SEPTEMBER 4, 2024

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. And for good reason. Q: How has Domo Everywhere helped improve your business results?

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Dataversity

DECEMBER 18, 2023

Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse.

Data Warehouse 298

Data Warehouse Government Data Architecture Data Analytics 298

Domo

APRIL 20, 2022

On the front end, we work closely with subject matter experts,” said UPMC’s senior manager of data architecture and analytics. The finance people that know the finance data, for example. We make sure the data is checked and reliable. And then we use the certification process in Domo. Optum has done that.

Embedded Analytics 98

Embedded Analytics Chief Data Officer Logistics Artificial Intelligence 98

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Tableau

JULY 28, 2021

"Low-cost cloud object storage is increasingly making the cloud data lake the center of gravity for many organizations’ data architectures,” wrote Tomer Shiran, co-founder and CPO at Dremio. Get started using the native Dremio connector today.

Cloud Computing 52

Cloud Computing Data Architecture Data Analytics Data Analytics 52

Actian

SEPTEMBER 30, 2019

There’s no doubt that companies that leverage more of the data, and more of the data sources that they generate, for analytics and insights achieve superior business outcomes and outpace competitors. A Hybrid, multi-cloud approach enables enterprises to structure their data architecture to fit how their business works.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 30, 2019

There’s no doubt that companies that leverage more of the data, and more of the data sources that they generate, for analytics and insights achieve superior business outcomes and outpace competitors. A Hybrid, multi-cloud approach enables enterprises to structure their data architecture to fit how their business works.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Actian

SEPTEMBER 26, 2019

In Actian Avalanche we have some of the coolest tech in data analytics and I can geek-it-up with the best of them. Catch Paul Wolmering in room 1A04/05 at 1:15pm to hear more about “Next-generation serverless data architecture for insights at the speed of thought.”

Data Architecture 40

Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 26, 2019

In Actian Avalanche we have some of the coolest tech in data analytics and I can geek-it-up with the best of them. Catch Paul Wolmering in room 1A04/05 at 1:15pm to hear more about “Next-generation serverless data architecture for insights at the speed of thought.”

Data Architecture 8

Data Architecture Data Analytics Data Analytics 8

Dataversity

DECEMBER 9, 2022

It’s rare, if not impossible, to find a business that does not have a digital presence. The convenience factor of digital is accelerating the pace at which businesses are applying an online presence, including the ones that were mainly brick-and-mortar before COVID.

Digital 246

Digital Cloud Computing Data Architecture Data Management 246

Dataversity

SEPTEMBER 24, 2021

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 The reason is pretty obvious – businesses want to leverage the power of data […]. billion by 2028.

Data Warehouse 242

Data Warehouse Data Quality Data Architecture Data Governance 242

The BAWorld

SEPTEMBER 18, 2024

Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

The Data Administration Newsletter

MAY 1, 2024

IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies.

Innovation 52

Innovation Data Analytics Data Analytics Data Architecture 52

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Being able to act on data in the moment is paramount to transforming business outcomes and improving the chances of business success.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Being able to act on data in the moment is paramount to transforming business outcomes and improving the chances of business success.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Astera

DECEMBER 21, 2022

These data warehouses leverage the power of the cloud to offer enhanced scalability, flexibility, and elasticity to organizations. Today, more and more businesses are adopting cloud data warehouses as part of their data analytics and business intelligence strategies, owing to the benefits they offer.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Dataversity

DECEMBER 8, 2023

Let’s talk about an inconvenient truth: For the typical business, data reporting has a tendency to fall short of producing the desired outcomes.

Government 147

Government Data Architecture Data Analytics Data Analytics 147

Dataversity

SEPTEMBER 25, 2023

Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal.

Data Architecture 147

Data Architecture Data Analytics Data Analytics 147

Dataversity

FEBRUARY 24, 2021

The amount of data generated in the digital world is increasing by the minute! This massive amount of data is termed “big data.” We may classify the data as structured, unstructured, or semi-structured. Data that is structured or semi-structured is relatively easy to store, process, and analyze. […].

Big Data 147

Big Data Digital Data Architecture Data Analytics 147

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52