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

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

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

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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

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

The Data Administration Newsletter

JULY 21, 2021

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

Big Data 145

Big Data Data Modelling Data Architecture Data Management 145

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

DECEMBER 21, 2022

Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Managing and keeping track of all of this data is not easy. While organizing data effectively can be difficult, the rewards of doing so can be significant.

Data Management 52

Data Management Data Governance Government Data Warehouse 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 Innovation 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 Innovation 40

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. Swiss Life , the 110-year-old insurance and asset management leader, experienced this firsthand. This caused extra work for IT and unreliable results. Something had to change.

Government 112

Government Banking Data Governance Data Discovery 112

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. Swiss Life , the 110-year-old insurance and asset management leader, experienced this firsthand. This caused extra work for IT and unreliable results. Something had to change.

Government 91

Government Banking Data Governance Data Discovery 91

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

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. These connect to uncommon or proprietary data sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52