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` Axon - Data Marketplace Sachin Jain Customer Success Technologist

Axon - Data Marketplace€¦ · Determine data standards and semantics to provide consistency and a common business language for data. Determine data lineage and automatically implement

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Page 1: Axon - Data Marketplace€¦ · Determine data standards and semantics to provide consistency and a common business language for data. Determine data lineage and automatically implement

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Axon - Data Marketplace

Sachin JainCustomer Success Technologist

Page 2: Axon - Data Marketplace€¦ · Determine data standards and semantics to provide consistency and a common business language for data. Determine data lineage and automatically implement

2 © Informatica. Proprietary and Confidential.

Housekeeping Tips

Today’s Webinar is scheduled for 1 hour

The session will include a webcast and then your questions will be answered live at the end of the presentation

All dial-in participants will be muted to enable the speakers to present without interruption

Questions can be submitted to “All Panelists" via the Q&A option and we will respond at the end of the presentation

The webinar is being recorded and will be available to view on our INFASupport YouTube channel and Success Portal. The link will be emailed as well.

Please take time to complete the post-webinar survey and provide your feedback and suggestions for upcoming topics.

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Success Portal https://success.informatica.com

Learn. Adopt. Succeed.

© Informatica. Proprietary and Confidential.

FREE Product Learning Paths

and weekly Expert sessions

Bootstrap product trial experience

InformaticaConcierge with

Chatbot integrations

Enriched Onboarding experience

Tailored training and content

recommendations

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4 © Informatica. Proprietary and Confidential.

Safe Harbor

The information being provided today is for informational purposes only. The

development, release, and timing of any Informatica product or functionality

described today remain at the sole discretion of Informatica and should not be

relied upon in making a purchasing decision.

Statements made today are based on currently available information, which is

subject to change. Such statements should not be relied upon as a

representation, warranty or commitment to deliver specific products or

functionality in the future.

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5 © Informatica. Proprietary and Confidential.

Agenda

Data Democratization

Data Governance is Key to Data Democratization

Data Marketplace – Data Democratization for Everyone

Demo

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6 © Informatica. Proprietary and Confidential.6 © Informatica. Proprietary and Confidential.6 © Informatica. Proprietary and Confidential.

500 millionbusiness data users and growing

Machine Learning/AI

Over 92% of data center trafficwill come from the Cloud

20 billion connected devices

1 billion workerswill be assisted by machine learning or AI

15.3 zettabytes per yearin global data center traffic

Explosion in Data Volume

New Data Types (mobile, social, IoT)

New Users

Data in the Cloud

Data and Users are Growing

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Data Governance is Evolving

Drive Biz Value

45%Control Cost

28%Manage Risk

27%

Source: Gartner

• Improve regulatory compliance

• Account for data privacy by design

• Enhance data quality/ reliability/accessibility

• Improve operational efficiencies

• Reduce analytics cost

• Improve order accuracy

• Increase customer intimacy/experience

• Drive product/offering innovation

• Reduce time to market for products/offerings

Looking forward:Through 2021, 80% of Programs will have value creation/revenue

generation as their No. 1 priority, up from 45% in 2017.

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Data Democratization is Foundational to Transformation

“The people who create the data know exactly the information it contains, how it relates to the other information within the company, who should be accessing it – and who shouldn’t. Give them an active role in protecting it.”

Manage Risk“If you can’t get insights until you’ve analyzed your sales for a week or a month, then you’ve lost sales within that time. If you can cut down that time from two or three weeks to 20 or 30 minutes, then that saves a lot of money.”

Control Cost“Data democratization is the future of managing big data and realizing its value. Businesses armed with the right tools and understanding are succeeding today because they are arming all their employees with the knowledge necessary to make smart decisions and provide better customer experiences.”

Drive Business Value

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Challenges

Challenges to Data Democratization

Solution -> Data Governance

Data Strategyonly about 30% of respondents to a McKinsey survey had a data strategy in place.

Data GrowthThrough 2022, data management manual tasks will be reduced by 45 percent through the addition of ML and automated service-level management.

Data Literacythe 2nd most reported internal roadblock byCDOs

Data TrustAccording to a Harvard Business Review study, only 3% of executives believe that the data that their departments use is trustworthy

Data Privacy59K data breaches were reported under GDPR in 2018

Understand how datais linked to business processes and outcomes for prioritization

Leverage the power of AI and machine learning to execute the heavy lifting

Determine data standards and semantics to provide consistency and a common business language for data

Determine data lineage and automatically implement data quality rules to understand and improve trust

Design and implement privacy at the data level as part of your data governance framework

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© Informatica. Proprietary and Confidential.1010

Data Marketplace

• Simple, store-like experience for analysts - Browse and search for relevant data assets,

find data recommended by peers- Easily search, navigate and subscribe to

relevant data topics- Automated provisioning of requested data- Request new data assets as required

• Facilitate production and publishing “pipeline”, with automated enforcement of… - Standard, rule-based quality, reliability and

availability metrics- Audit history, reporting, analytics on data

consumption patterns

Enable Data Democratisation across the organisation

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Data Consumer Data Owner Technical

Owner Administrator SuperAdmin

Understanding Users and Terms

Access Request Category Data

Collection Fulfilment

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12 © Informatica. Proprietary and Confidential.

How Data Marketplace Works

The data owner publishes data sets to the Data Marketplace as a data collection.

The data consumer searches the Data Marketplace and find a data collection.

The data consumer requests access to the data from the data owner.

The data owner approves the request.

The technical owner delivers the data to the data consumer.

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Create Data Collections for Business Use

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Browse Data Categories

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Search and Filter to find Relevant Data

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Attributes expanded

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Request Access to a Data Collection

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Governed Data Access - Business Justification

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Governed Data Access

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Approved Information

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© Informatica. Proprietary and Confidential.

Data Preview In Enterprise Data Catalog

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© Informatica. Proprietary and Confidential.

Data Provisioning In Enterprise Data Catalog

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© Informatica. Proprietary and Confidential.

Technical owner – Mark as Fulfilled

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Demo

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Questions?

?

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Thank you!