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What is TEOCO SmartHub Analytics?

SmartHub Analytics is a dedicated platform tailored for telecom big-data analysis, concentrating on applications that deliver financial and subscriber-focused returns on investment. Its design promotes the sharing and reuse of data, which significantly boosts business performance while providing analytics that can be acted upon immediately. By dismantling data silos, SmartHub Analytics effectively assesses, authenticates, and models large datasets derived from TEOCO’s diverse solutions, which cover areas such as customer management, planning, optimization, service assurance, geo-location, service quality, and cost analysis. As an additional layer of analytics seamlessly integrated with current OSS and BSS systems, SmartHub Analytics creates a standalone analytics environment that has proven to yield impressive returns on investment, enabling operators to save billions. Through the use of predictive machine learning techniques, our methodology often uncovers significant cost savings for our clients. Furthermore, SmartHub Analytics sets the standard in the industry by providing swift data analysis capabilities, ensuring businesses can swiftly adapt to market fluctuations with both agility and precision, thus maintaining a competitive edge. This adaptability is crucial in a fast-paced digital landscape where timely insights can make all the difference.

What is Azure Data Lake Storage?

Eliminate data silos by adopting a cohesive storage solution that improves cost efficiency through tiered storage options and strategic policy management. Safeguard data integrity with Azure Active Directory (Azure AD) authentication and role-based access control (RBAC), while enhancing data security with essential measures such as encryption at rest and advanced threat protection. This solution emphasizes strong security features, offering flexible protection strategies for data access, encryption, and network governance. It operates as a holistic platform for data ingestion, processing, and visualization, seamlessly integrating with popular analytics tools. Cost savings are realized by scaling storage and computing resources independently, utilizing lifecycle policy management, and applying object-level tiering. With Azure's vast global infrastructure, you can easily accommodate varying capacity requirements and manage data with ease. Moreover, the system supports the execution of extensive analytics queries with reliable high performance, ensuring that your data operations are both efficient and impactful. Ultimately, this approach empowers organizations to harness their data potential fully while maintaining stringent security and performance standards.

Media

Media

Integrations Supported

Accenture Cloud Trade Promotion Management
Amdocs Customer Experience Suite
Autymate
Azure Data Share
Azure Databricks
Azure Marketplace
Composable DataOps Platform
Data Sentinel
Microsoft 365
Microsoft Azure
Microsoft Entra ID
Peaka
Progress DataDirect
Replenit
SAP Cloud Platform
Salesforce Data 360
Wipro Cloud Studio
Yellowbrick

Integrations Supported

Accenture Cloud Trade Promotion Management
Amdocs Customer Experience Suite
Autymate
Azure Data Share
Azure Databricks
Azure Marketplace
Composable DataOps Platform
Data Sentinel
Microsoft 365
Microsoft Azure
Microsoft Entra ID
Peaka
Progress DataDirect
Replenit
SAP Cloud Platform
Salesforce Data 360
Wipro Cloud Studio
Yellowbrick

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

TEOCO

Date Founded

1994

Company Location

United States

Company Website

www.teoco.com/products-services/business-solutions/smarthub/analytics-platform/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/storage/data-lake-storage/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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