Sisense

JULY 6, 2020

Its main purpose is to establish an enterprise data management strategy. That includes the creation of fundamental documents that define policies, procedures, roles, tasks, and responsibilities throughout the organization. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 101

Data Governance Government Data Quality Change Management 101

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

The Data Administration Newsletter

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Documentation 52

Documentation Change Management Data Architecture Big Data 52

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. “You

Embedded Analytics 98

Embedded Analytics Chief Data Officer Logistics Artificial Intelligence 98

Sisense

AUGUST 28, 2019

This functionality is especially pertinent in the case of mergers and acquisitions — you want to ensure your BI platform can support any future architecture that your company inherits along the way. But they come at the cost of true consumer flexibility — and your company’s ability to confidently invest in a cloud-agnostic data strategy.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Astera

JUNE 14, 2024

Here are some important factors to keep in mind: Formalizing Existing Governance Processes: Most organizations are already governing their data in some way, even if they haven’t formally put it in writing. People-Centric Approach: Effective data governance begins with understanding the roles and responsibilities of the people involved.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

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

Astera

JUNE 21, 2024

APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption. APIs act as intermediaries, allowing seamless communication and data exchange between applications.

Real-time Data 52

Real-time Data Innovation Monitoring Data Architecture 52

Astera

JUNE 20, 2024

They act as intermediaries, enabling seamless communication and data exchange between software applications. Therefore, investing in an API integration tool gives businesses a strategic edge by providing a unified data architecture for faster and more accurate decision-making. Why Do Businesses Need an API Integration Tool?

IBM Support 52

IBM Support IBM Maintenance Documentation Digital Transformation 52

Astera

DECEMBER 2, 2022

Reasons to Migrate Healthcare Data: There are various reasons why organizations seek a data migration solution. Modernizing Data Systems: Data architecture modernization is the most common reason for data migration. Stage 2: Cleansing Data. Some of those reasons are: 1.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

Astera

JUNE 6, 2023

Integration with Existing Infrastructure : Evaluate how well the tool integrates with your current infrastructure, including data storage systems and analytics platforms. Support and Documentation: Assess the level of support and availability of documentation from the tool’s vendor.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

MARCH 20, 2024

Modernizing legacy systems EDM requires that there’s a clear understanding of data origin and transformations. However, legacy systems store data in outdated formats or proprietary databases and lack proper documentation on how data flows through the system, where it originates, and how it’s transformed.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

NOVEMBER 30, 2023

Additionally, Data Vault 2.0 Data Vault 2.0 establishes comprehensive standards and guidelines for naming, modeling, loading, and documenting data. This ensures a foundation of quality, clarity, and manageability, making Data Vault 2.0 a comprehensive solution for modern data warehousing. Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Insight Software

JANUARY 17, 2022

Data Environment. The BI solutions you evaluate should be compatible with your current data environment, while at the same time have enough flexibility to meet future demands as your data architecture evolves. Customer success: Your BI vendor needs to be dedicated to your success.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Domo

DECEMBER 12, 2019

Now, everyone within the document processing company’s sales department has more than 90 days of visibility. Domo started by pooling and “cleaning” all of Fuji Xerox’s data to give the sales team a clear picture of the stage each customer or prospect was in. It was a vicious cycle.” What changed?

Documentation 52

Documentation Agile Planning Data Architecture 52

Astera

MARCH 19, 2024

Data Standards and Metadata Management: Standardizing data formats, definitions, and naming conventions is crucial for ensuring consistency and interoperability across the organization. The program establishes processes for metadata management, including the documentation of data lineage, definitions, and usage policies.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

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

Argon Digital

FEBRUARY 9, 2023

These are only a few of the many questions that highlight the need for documentation when modeling even the simplest of organizational structures. However, the typical small business does not need complex data architecture and a large team to maintain service. What security concerns are there?

Banking 52

Banking Finance Vision Data Architecture 52

Astera

JUNE 4, 2024

Key Features of Data Catalog Inventory of All Data Assets The data catalog encompasses structured data (e.g., relational databases), semi-structured data (e.g., JSON, XML), and even unstructured data (e.g., text documents, images, and videos).

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

FEBRUARY 14, 2024

Establish a Robust Data Mapping Strategy: Create a comprehensive data mapping document that clearly outlines how data from the source aligns with Salesforce objects and fields. Use a data mapping tool to quickly map source and target data fields.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

Astera

FEBRUARY 14, 2024

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. Use automation tools to speed up and simplify the development and maintenance of the data vault. Automation Follow the data vault 2.0

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Domo

SEPTEMBER 11, 2019

Any customer who wants to get their data out of Domo can do so in a number of ways. The data can be accessed by using our dozens of out-of-the-box writeback connectors, our well-documented Developer APIs, our Microsoft Office plug-ins, our ODBC driver, our embedding capabilities, or even by a simple data export.

Data Warehouse 52

Data Warehouse Pharmaceutical Healthcare Real-time Data 52

Sisense

SEPTEMBER 3, 2019

Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades. The volume of data being created has increased, and the storage and computational resources needed to store and analyze that data has become cheaper and more widely available.

Data Warehouse 78

Data Warehouse Data Architecture Planning Big Data 78

Astera

DECEMBER 28, 2023

Error-handling and available documentation lack depth. Ab Initio Ab Initio is an enterprise-level self-service data platform offering a range of capabilities, including batch and real-time data integration, BI and analytics, automation, as well as data quality and governance.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Error-handling and available documentation lack depth. Ab Initio Ab Initio is an enterprise-level self-service data platform offering a range of capabilities, including batch and real-time data integration, BI and analytics, automation, as well as data quality and governance.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

OCTOBER 27, 2023

Download Trial Best Cloud Data Warehouse Solutions for Businesses Most cloud data warehousing solutions operate on the pay-as-you-go pricing model preferred by businesses, especially startups that are new to the world of data warehousing. Evaluate factors such as response times and the availability of support plans.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Insight Software

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Read carefully.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

JULY 28, 2023

Buying: With outsourced analytics solutions, there’s no need to worry about product maintenance, training, or documentation, since vendors extensively document their platforms. Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MARCH 4, 2024

However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Like an iceberg below the surface, these realities crash into expectations, leading to frustration and missed opportunities.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Automation 52