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What is dashDB Local?

IBM's dashDB Local, the newest component of the dashDB suite, strengthens the company's hybrid data warehouse initiative by providing businesses with a flexible architecture that minimizes analytics costs amid the fast-changing realms of big data and cloud services. This is made possible through an integrated analytics engine that accommodates multiple deployment options in both private and public cloud settings, facilitating smooth transitions and optimization of analytics tasks. It is now accessible for organizations choosing to deploy in either a hosted private cloud or an on-premises private cloud with a software-defined infrastructure, making dashDB Local a practical option. From an IT standpoint, it simplifies deployment and management processes by leveraging container technology, which guarantees elastic scalability and easy upkeep. For users, dashDB Local speeds up data collection, customizes analytics for particular use cases, and efficiently translates insights into actionable steps, significantly boosting overall productivity. Furthermore, this all-encompassing strategy enables organizations to better utilize their data than ever before, fostering a culture of informed decision-making.

What is IBM Industry Models?

IBM's industry data model acts as a detailed framework that integrates common elements consistent with best practices and regulatory requirements, designed to cater to the complex data and analytical needs of different fields. By adopting this model, businesses can efficiently manage their data warehouses and lakes, facilitating the extraction of deeper insights that enhance their decision-making capabilities. These models include blueprints for data warehouses, uniform business language, and business intelligence templates, all structured within a set framework that accelerates the analytics process for targeted industries. This approach allows for quicker analysis and the design of functional requirements by utilizing industry-specific informational infrastructures. Furthermore, organizations can create and refine data warehouses with a unified architecture that can adapt to changing demands, significantly reducing risks while improving data delivery to applications across the organization, which is essential for fostering transformation. It is also vital to establish enterprise-wide key performance indicators (KPIs) while catering to compliance, reporting, and analytical requisites. Moreover, implementing specialized vocabularies and templates for regulatory reporting is crucial for effectively managing and overseeing data assets, ensuring rigorous accountability and governance. This comprehensive strategy not only enhances operational efficiency but also equips organizations to react swiftly and effectively to the ever-evolving challenges within their industry environments. Ultimately, the integration of such a model fosters a culture of continuous improvement and responsiveness that can significantly benefit organizations in the long run.

Media

Media

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www-01.ibm.com/common/ssi/cgi-bin/ssialias

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/industry-models

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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