Streaming Cloud Analytics: Enabling Dynamic Product Innovation From User Experience Measurements

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At Pivotal, our mission is to enable customers to build a new class of applications, leveraging big and fast data, and do all of this with the power of cloud-independence. Pivotal Big Data Analytics is central to this major transformation.

Technologie

A NEW PLATFORM FOR A NEW ERA

gopivotal.com

Streaming Cloud Analytics
Enabling Dynamic Product Innovation From
User Experience Measurements

Balu Rajagopal
brajagopal@vmware.com

© Copyright 2013 Pivotal. All rights reserved. 2

It’s a Big Data World
DATA 2011 Machine
VOLUME Patterns 2.0 Zettabytes in
Information Enterprise Data
To
Zettabyte Insights Machine
Business
Exabyte Apps

Petabyte
Interactions
Terabyte

Transactions
Mainframe PC Internet Mobile Machine
Time
Chart based on IDC and UC Berkeley Data Growth Estimates, Source: IDC & CosmoBC.com:
http://techblog.cosmobc.com/2011/08/26/data-storage-infographic/

© Copyright 2013 Pivotal. All rights reserved. 3

Emerging Trends
Big Data Business Apps

① Separation of Data From Application

② Dynamic Feature Provisioning

③ Elastic Feature Level Scalability

④ Apps as a Service

⑤ It’s a Mashup – No More Function Point Apps

© Copyright 2013 Pivotal. All rights reserved. 4

Digital Business Model
Three Key Components

Every
Enterprise
is Digital

Source: MIT Center For Digital Business

© Copyright 2013 Pivotal. All rights reserved. 5

Product Innovation
Key Drivers

① Everything is on the Cloud (public, private) !
② Information as a Service !
③ Big Data is the new Gold Mine !
④ Agility is a Given !
⑤ Predictive Enterprise is Mandatory ! Graphic Source: Gartner

© Copyright 2013 Pivotal. All rights reserved. 6

Analytics at the Core
Enabling Applications To Deliver Business Value
New

OLD
User Experience
Centric

Workflow
Centric

Graphic Adapted From Gartner

© Copyright 2013 Pivotal. All rights reserved. 7

The New Business App Framework
Enabling Data-Driven Decision Making

Business App
Analytics View

© Copyright 2013 Pivotal. All rights reserved. 8

Core Analytics Capabilities
Creating Business Value

1 Predictive analytics

2 Real time business analytics

3 Root cause & investigative analytics

© Copyright 2013 Pivotal. All rights reserved. 9

Pivotal Analytics Stack
Business analysts

IT & Ops Data engineers, scientists

• SQL Query • Visualization
App,
Log, Trans Streaming data
• R & Modeling • Aggregates
action & via: REST APIs,
Java SDK, JS, • Raw Analytics
Machine • Vertical Analytics
Syslog, iOS
data
• Statistical Analysis • Custom Measures

Cetas Analytics
Pivotal Analytics APIs

Pivotal Hadoop

© Copyright 2013 Pivotal. All rights reserved. 10

Pivotal End-To-End Analytics Platform

Pivotal Streaming Analytics Platform

Real-time and Discovery and Actions and
Batch Ingestion Analytics Collaboration

• SQL Query • Visualization

• R & Modeling • Aggregates

• Vertical Analytics • Raw Analytics

• Statistical Analysis • Custom Measures

© Copyright 2013 Pivotal. All rights reserved. 11

Pivotal Real-Time Analytics UI

© Copyright 2013 Pivotal. All rights reserved. 12

Pivotal Analytics Value Proposition
① Instant intelligence for Business operations & Business users
• Batch and Real-time analysis of non-structured and transactional data
• Out-of-box Analytics

① Custom Analytics
• Customization of business KPI/measures
• Auto derive trends and patterns

③ Business Value and Insights from Hadoop Investments

④ Dramatically reduce time, effort and cost of Advanced Analytics

© Copyright 2013 Pivotal. All rights reserved. 13

Takeaways For App Development
Business App Design Considerations

① CONDUIT for Patterns, Information and Insights!

② INDIVIDUAL (Personalized) User Experience Matters !

③ RUN Anywhere Anytime w/Access to People and Data!

④ Big Data ANALYTICS at the Core!

⑤ Agile on Steroids - Rapid READY, AIM, FIRE, ANALYZE !

© Copyright 2013 Pivotal. All rights reserved. 14

Analyze Now!

FREE Analytics
Sign-up

Visit cetas.net

© Copyright 2013 Pivotal. All rights reserved. 15

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

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FWD Group - Insurer Innovation Award 2024

Why Teams call analytics are critical to your entire business

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Strategies for Landing an Oracle DBA Job as a Fresher

Streaming Cloud Analytics: Enabling Dynamic Product Innovation From User Experience Measurements

1. A NEW PLATFORM FOR A NEW ERA gopivotal.com

3. It’s a Big Data World DATA 2011 Machine VOLUME Patterns 2.0 Zettabytes in Information Enterprise Data To Zettabyte Insights Machine Business Exabyte Apps Petabyte Interactions Terabyte Transactions Mainframe PC Internet Mobile Machine Time Chart based on IDC and UC Berkeley Data Growth Estimates, Source: IDC & CosmoBC.com: http://techblog.cosmobc.com/2011/08/26/data-storage-infographic/ © Copyright 2013 Pivotal. All rights reserved. 3

4. Emerging Trends Big Data Business Apps ① Separation of Data From Application ② Dynamic Feature Provisioning ③ Elastic Feature Level Scalability ④ Apps as a Service ⑤ It’s a Mashup – No More Function Point Apps © Copyright 2013 Pivotal. All rights reserved. 4

6. Product Innovation Key Drivers ① Everything is on the Cloud (public, private) ! ② Information as a Service ! ③ Big Data is the new Gold Mine ! ④ Agility is a Given ! ⑤ Predictive Enterprise is Mandatory ! Graphic Source: Gartner © Copyright 2013 Pivotal. All rights reserved. 6

10. Pivotal Analytics Stack Business analysts IT & Ops Data engineers, scientists • SQL Query • Visualization App, Log, Trans Streaming data • R & Modeling • Aggregates action & via: REST APIs, Java SDK, JS, • Raw Analytics Machine • Vertical Analytics Syslog, iOS data • Statistical Analysis • Custom Measures Cetas Analytics Pivotal Analytics APIs Pivotal Hadoop © Copyright 2013 Pivotal. All rights reserved. 10

11. Pivotal End-To-End Analytics Platform Pivotal Streaming Analytics Platform Real-time and Discovery and Actions and Batch Ingestion Analytics Collaboration • SQL Query • Visualization • R & Modeling • Aggregates • Vertical Analytics • Raw Analytics • Statistical Analysis • Custom Measures © Copyright 2013 Pivotal. All rights reserved. 11

13. Pivotal Analytics Value Proposition ① Instant intelligence for Business operations & Business users • Batch and Real-time analysis of non-structured and transactional data • Out-of-box Analytics ① Custom Analytics • Customization of business KPI/measures • Auto derive trends and patterns ③ Business Value and Insights from Hadoop Investments ④ Dramatically reduce time, effort and cost of Advanced Analytics © Copyright 2013 Pivotal. All rights reserved. 13

14. Takeaways For App Development Business App Design Considerations ① CONDUIT for Patterns, Information and Insights! ② INDIVIDUAL (Personalized) User Experience Matters ! ③ RUN Anywhere Anytime w/Access to People and Data! ④ Big Data ANALYTICS at the Core! ⑤ Agile on Steroids - Rapid READY, AIM, FIRE, ANALYZE ! © Copyright 2013 Pivotal. All rights reserved. 14

16. A NEW PLATFORM FOR A NEW ERA gopivotal.com

Streaming Cloud Analytics: Enabling Dynamic Product Innovation From User Experience Measurements

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