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What is Sherlock?

The advancement of digitalization, coupled with the growing intricacies of products, is transforming the requirements for communication within companies and their client interactions. Accessing customized information swiftly for particular contexts and target audiences has become vital for sustaining a competitive advantage. It is crucial to ensure that product information is readily available in a centralized location. Dynamic full-text search functionalities allow users to find the necessary information quickly without needing to comprehend the underlying data architecture of the products. Sherlock adeptly links and enhances information sourced from various departments and systems within an organization, converting it into actionable insights. Each department can independently decide which data to make available on the central platform, promoting a personalized approach. By structuring your digital business processes around this interconnected information, you can gradually expand the uses of Sherlock's features. Furthermore, you possess the flexibility to modify Sherlock's services based on your specific requirements and those of your users. Seize this opportunity to swiftly adapt to new challenges, ultimately fostering a more agile business environment that is prepared for future demands. The integration of these strategies will not only enhance operational efficiency but also improve customer satisfaction as a result of more responsive communication.

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

HubSpot Customer Platform

Integrations Supported

HubSpot Customer Platform

API Availability

Has API

API Availability

Has API

Pricing Information

$495.00/month
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

Fischer Information Technology

Company Location

Germany

Company Website

www.fischer-information.com/en/products-and-services/sherlock.html

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/industry-models

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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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