Astera

FEBRUARY 14, 2024

What is Data Migration in Salesforce? Salesforce data migration is the process of transferring data from external sources, legacy systems, typically databases, into the Salesforce platform, a cloud-based customer relationship management (CRM) platform.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. The raw vault is insert-only, meaning that no data is ever deleted or updated. 

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

NOVEMBER 16, 2022

By integrating on-premises data systems with cloud environments, companies can take advantage of the cloud without completely decommissioning their legacy systems. Well, unlocking the true value of this data infrastructure requires effective strategy and implementation plan. Cloud data migration can be overwhelming.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Dataversity

JANUARY 30, 2023

It is tempting, when pursuing a project that requires heavy use of data, to focus just on that particular project. Collect or locate the data needed to answer the question at hand, work out the conclusions based on that data, act on the conclusions, and discard the data.

Data Architecture 130

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Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Innovation 90

Innovation Data Warehouse Data Architecture Visualization 90

The Data Administration Newsletter

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Data Management 52

Data Management Data Governance Data Architecture Government 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! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

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Astera

JUNE 6, 2023

In the evolving technology age of today, the utilization of the best data pipeline tools is paramount. These tools play a crucial role in efficiently extracting, transforming, and loading data from various sources into a centralized repository. What Is a Data Pipeline?

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

OCTOBER 19, 2023

Data analysis demands precision, and at its core lies the vital role of data preparation tools. These tools serve as the cornerstone for ensuring your data is accurate, consistent, and reliable. Before embarking on your data analysis journey, it’s crucial to choose the right tool for the job. This was up 2.6%

IBM Support 40

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Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

The Data Administration Newsletter

JUNE 20, 2023

The increasing burden of complying with government and industry regulations imposes significant, time-consuming requirements on IT projects and applications. And nowhere is the pressure to comply with regulations greater than on data stored in corporate databases. One of the more useful […]

Government 69

Government Monitoring Data Architecture Data Management 69

Astera

APRIL 7, 2023

Given the rapidly changing nature of today’s business landscape, data has become a crucial to success. 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.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Given the rapidly changing nature of today’s business landscape, data has become a crucial to success. 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.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Sisense

JULY 6, 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. Employing Enterprise Data Management (EDM).

Data Management 98

Data Management Data Architecture Data Governance Government 98

The Data Administration Newsletter

NOVEMBER 1, 2022

Data Catalogs have great promise. They can provide the businessperson, analyst, architect, system engineer and data scientist alike the ability to look for data and understand what it contains. They require proper curation and a good understanding of data/metadata, privacy/security, and technical ecosystem to be effective.

Data Governance 52

Data Governance Data Architecture Government Data Management 52

The Data Administration Newsletter

MAY 31, 2022

In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we can learn from the writings of a 16thcentury Japanese swordsman. Expertise in all is not required, but basic […].

Data Modelling 52

Data Modelling Data Architecture Data Management 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. What data is being collected and stored? Is the data secure?

Data Governance 52

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 2, 2022

What is Healthcare Data Migration? With 30% of world’s data volume produced from the medical industry, most healthcare organizations are using a data migration strategy to migrate their healthcare data from their on-premise legacy systems to advanced storage solutions. Some of those reasons are: 1.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

Insight Software

JANUARY 17, 2022

It also means keeping your customers top of mind as you determine requirements. These five BI requirements (both technical and non-technical) are critical to any analytics implementation and common to most evaluations. Data Environment. Also ask yourself if your users need to transform or enrich data for analysis.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

DECEMBER 21, 2022

Doing business in the modern world requires handling a constantly increasing amount of data. Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Managing and keeping track of all of this data is not easy.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Dataversity

DECEMBER 30, 2022

Despite ongoing economic uncertainty, we know that 2023 will require us to do more with the data we have, protect it better, and find new ways to uncover insights through improved Data Management. 2023 will require everyone to be nimble with their data, but I don’t see the economy derailing growth in this area.

Data Management 130

Data Management Artificial Intelligence Data Architecture Data Governance 130

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Tableau

JULY 23, 2021

Recent IDC research, sponsored by Tableau, found that 83% of CEOs want a data-driven organization, but only 33% of executives are comfortable questioning business KPIs and metrics1, revealing disparities between what executives “want” and “have.”(1) The five common trends among data-driven organizations are: .

Government 111

Government Banking Data Governance Data Discovery 111

Tableau

JULY 23, 2021

Recent IDC research, sponsored by Tableau, found that 83% of CEOs want a data-driven organization, but only 33% of executives are comfortable questioning business KPIs and metrics1, revealing disparities between what executives “want” and “have.”(1) Mindset: Encouraging data exploration and curiosity for everyone.

Government 88

Government Banking Data Governance Data Discovery 88

Tableau

AUGUST 6, 2021

Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. . One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

Tableau

AUGUST 6, 2021

Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 52

Actian

JULY 31, 2019

Managing and analyzing heterogeneous data is a challenge for most companies, which the oncoming wave of Edge Computing-generated datasets has only exacerbated. This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Actian

SEPTEMBER 30, 2019

This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. You can find the complete blog series by visiting Data @ Work , the official Actian blog. This week, we’ll look at the growing movement toward hybrid data environments.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40