Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Actian

JULY 9, 2019

Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address. If you are considering cross-company integration, then you should also be establishing formal data stewardship agreements with the companies with whom you integrate.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

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 quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Interrelation between metadata and other applications.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

MAY 14, 2024

What is Data Provenance? Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?”

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Smart Data Collective

SEPTEMBER 26, 2021

A NoSQl database can use documents for the storage and retrieval of data. The central concept is the idea of a document. Documents encompass and encode data (or information) in a standard format. A document is susceptible to change. The documents can be in PDF format. Speaking of which.

Documentation 247

Documentation Data Visualization Data Mining Data Warehouse 247

Astera

APRIL 24, 2024

These tools are also flexible, as they can efficiently manage dynamic data sources, seamlessly incorporating data from new sources without requiring a complete system. This flexibility allows businesses to update and expand their data management strategies without disruption continuously.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

DECEMBER 29, 2023

Learn More The primary elements in data vault modeling are: Hubs Hubs serve as the central repositories for business keys, or identifiers, that store unique and unchanging business data and provide a solid reference point for each business entity. Ensure data quality throughout. Deploy on premises or in the cloud.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Learn More The primary elements in data vault modeling are: Hubs Hubs serve as the central repositories for business keys, or identifiers, that store unique and unchanging business data and provide a solid reference point for each business entity. Ensure data quality throughout. Deploy on premises or in the cloud.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

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

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. Therefore, it’s a step of significant importance in data integration.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. Therefore, it’s a step of significant importance in data integration.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

DECEMBER 22, 2022

This data can be in different formats and structures. Thus, businesses will have to manage, enrich, and manipulate data before loading it into another system and performing data analytics. This is where data transformation comes into play. Defining the expression that will be used to filter out data.

Data Warehouse 52

Data Warehouse Banking Data Quality Documentation 52

Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Developers may use SQL to code a data integration system by hand.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. On the flip side, document everything that isn’t working. Clean data in, clean analytics out.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

APRIL 24, 2024

Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows. Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. It has a collapse command feature.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Data Pine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144