SAP Cloud Platform Internet of Things in IoT Analytics

SAP Cloud Platform Internet of Things
Online
Weinheim, Germany
1972
$10BN to $50BN
91
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SAP Cloud Platform Internet of Things USP

SAP offers IoT analytics software through the SAP HANA Cloud platform. SAP HANA is being widely accepted by various industry verticals as it can be integrated not only with the social media module in custom Customer Relationship Management (CRM) but also with R and Hadoop to store, pre-process, analyze, and compute data in real-time analysis. The platform helps analyze data from machines, streaming events, and business operations and allows frontline workers to make use of real-time analytics to maintain productivity. Request SAP Cloud Platform Internet of Things Pricing to get more information.

Summary

SAP HANA offers platform for legacy software, third-party software, and SAP software and is the best platform for develping and deploying real-time applications, machine learning applications and predictive analytics. It perform business operations and data analysis in in a very short period of time and untangle data center operations by integrating all data into a single source, and lay the groundwork for reimagining business models.

Feature:

 

Spatial processing

The SAP HANA platform offers native support for spatial data and spatial functions. It includes base maps with political boundaries and points of interest to accelerate development of modern, location aware business applications. Third-party spatial solutions can also use SAP HANA as a high-performance, in-memory data store for managing and processing spatial data. SAP HANA spatial services, available in the cloud, integrate with custom business applications.

 

Graph

It store and process highly connected data using a dynamic data model called a property graph. It can also combine graph data processing with additional advanced analytical processing functionality in SAP HANA, such as text, predictive, and spatial analytics. The graph viewer delivered as part of SAP HANA helps visualize and explore graph data.

 

Document store

It can build enterprise-class, non-SQL (NoSQL) applications with the support to store schema-flexible data in JSON format within SAP HANA in compliance with ACID. Fully integrated with SAP HANA, the document store supports all administrative operations of SAP HANA as well as complex joins across data in SAP HANA tables and the document store. It can combine JSON data with structured data and query or ana-lyze it using SQL.

 

Search

It uses SQL to locate text quickly across multiple columns and binary files, such as Adobe PDF files, HTML, RTF, MSG, Microsoft Office documents, and flat text files. SAP HANA that run both full-text and advanced fuzzy searches for numerous languages.

 

Text analytics

Text analytics in SAP HANA includes advanced natural-language processing and entity extraction capabilities such as segmentation, stemming, tagging, and sentiment analysis. SAP HANA also supports algorithms for text mining and sentiment analytics to derive relevant keywords from documents, even if written in character sets other than Latin, such as Kanji.

 

Streaming analytics

It can capture and process streams of events from many sources in real time using the highly scalable smart data streaming engine within SAP HANA. SAP HANA supports an SQL-like processing language to combine streams with contextual data and analyze the result on the fly. To improve scalability, SAP HANA comes with a “streaming lite”component that can deploy on the streaming data source to analyze and filter streams before they reach SAP HANA. 

 

Series data

Internet of Things data and data from sensors arrive in a time-series format. SAP HANA processes time-series data and other kinds of series data efficiently to discover trends over a period.

360 Quadrants

Strengths and Weaknesses
  • +10 Batch Data Processing
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +6 Semi-Structured Data
  • +5 Structured Data
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +7 On-Premise
  • +10 Descriptive Analytics
  • +12 Predictive Analytics
  • +13 Prescriptive Analytics
  • +9 Databases
  • +8 Microsoft Corporation Office (including Spreadsheet)
  • +7 Programming Language (such as R, Python, Java)
  • +12 Remote Support
  • +10 Servers (such as Hadoop, Apache)
  • +11 Any other Integration type
  • +11 Customer Service
  • +6 Finance
  • +8 Operations/Production
  • -10 Data Integrity Issues
  • -10 Slow while processing Big data
  • -13 Through Partners / Third-Party Vendors
  • -11 Diagnostics Analytics
  • -11 On-Site Support
  • -9 Full Time Equivalent
  • -7 Human Resources (HR)
  • -5 Marketing
  • -11 Per User Basis
  • -14 Sales
  • -12 Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • -13 Any Other Data Preparation Features
  • -9 Any Other Data Presentation Features
  • -7 Other Data formats
  • -7 Building and Home Automation
  • -11 Connected Health
  • -6 Other applications
  • -14 Security and Emergencies
  • -13 Smart Mobility and Transport/Connected Car
  • -13 Analytics Consulting / Business Intelligence Services
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SAP Cloud Platform Internet of Things presence in IoT Analytics Software

SAP, with a direct presence in more than 130 countries, is a global company. The company is catering to a diverse set of industry verticals, such as BFSI, retail, sales, marketing, and manufacturing through its own and partner ecosystems including third parties (distributors, resellers, system integrators, consultants, and OEMs) in the Americas, EMEA, and APAC. This has helped SAP to widen its global reach. The company has been using both organic and inorganic growth strategies to gain competitive advantage. It launches an advanced solution to better meet the customer demands on regular basis. For this, SAP invests a significant share of its annual revenues in its R&D activities and has opened more than 100 innovation and development centers across the globe. In 2016, SAP introduced SAP Vehicle Insights which incorporates data analytics to be used for fleet analytics, vehicle diagnostics, and mobility-as-a-service scenarios and offers services to manage connected vehicles. SAP modifies its products as per the needs of its customers and to help them work efficiently. The company executed inorganic growth strategies to expand its customer base and deliver all-in-one analytics. For instance, SAP acquired Roambi suite of solutions and related key assets in 2016. The company has potential to further penetrate the market due to its high brand image and positioning. SAP has implementation partners, such as Fujitsu Consulting, SEED Infotech, and Praxis Info Solutions to enhance its value delivered to customers.


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