Product presentation Jun 2020 What is Anjana Data The challenges - - PowerPoint PPT Presentation

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Product presentation Jun 2020 What is Anjana Data The challenges - - PowerPoint PPT Presentation

Product presentation Jun 2020 What is Anjana Data The challenges Our proposal Use cases and benefits Our partnership strategy Product strategy Key concepts Product presentation Jun 2020 Wh What is is An Anja jana Dat ata Anjana Data


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Product presentation

Jun 2020

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Product presentation

Jun 2020

What is Anjana Data The challenges Our proposal Use cases and benefits Our partnership strategy Product strategy Key concepts

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“Anjana Data is not just a Data Governance Tool, it is the implementation of a philosophy as a result of an extensive experience in data related projects.” Wh What is is An Anja jana Dat ata Anjana Data is a spanish start-up founded to develop, support and market its own innovative and disruptive data governance solution

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Wh What is is An Anja jana Dat ata Anjana Data is an innovative and disruptive enterprise-ready Data Governance Solution designed to help Organizations in their Data Strategy roadmap implementation

It seems that the Anjanas have some sort of data governance duties, doesn’t it?

Th The Anjana is one of the best-known fairies of Cantabrian (a region in the north of Spain) mythology. These creatures live in the forests taking care about animals, trees, plants and streams and are recognised for being generous and protective of most people. They use to guide those who lose their way in the forest and, when summoned for help, they accept if the summoner is good of heart, but they may punish the wicked too.

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The chal alleng enges es Nowadays organizations need to face many diverse and hard to beat challenges when trying to implement a data-driven strategy

  • CDO and Data Office against the world
  • Data governance is usually led by IT
  • High walls between Business and IT
  • Understood as a limited and finite project
  • Low level of data culture and literacy
  • Business users need to spot value
  • Leveraged by regulation compliance
  • Data governance means bureaucracy
  • Plenty of silos between departments
  • Needs and requirements evolve over time
  • Legacy data management technologies

do not offer high business value

  • IT-focused hard to implement solutions
  • High initial investment and pricing based
  • n users not on the use
  • Tangled and assorted IT ecosystems
  • Outburst of new technologies
  • New added-value data architectures
  • Interoperability and no vendor lock-in

People & Processes Technology Market solutions

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Our propo posal al Anjana Data proposes a new approach for data governance implementation through its differential solution based on added-value characteristics

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Our propo posal al Anjana Data includes diverse built-in modules to offer features that bridge the gap between Business and IT

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Us Use e cases ses and d bene nefit fits Organizations may use Anjana Data to perform multiple use cases, all based on the importance of data as a new strategic asset

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Us Use e cases ses and d bene nefit fits The right implementation of a data governance framework using Anjana Data will led

  • rganizations to achieve multiple benefits
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Our partn tner ershi ship st strateg egy We strongly believe that today’s market needs a set of alliances and partnerships to enable customers to meet their daily challenges in term of data strategy

Business Consultancies IT vendors IT Integrators Education & Associations

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Pr Produ duct over erview ew Best-in-class, innovative and differential product strategy adapted to the actual technological era in order to cover our customers needs and requirements

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Pr Produ duct over erview ew Tools and mechanisms to ease the deployment, set-up, use and administration of the whole solution without leading you into a vendor lock-in scenario

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Key co conce cept pts As simple as powerful

Mighty features to easily introduce all stakeholders into the governance model in an automated way

Different functionalities for multiple roles and diverse purposes, all in one single application to achieve a fully-governed technology-agnostic data ecosystem

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Key co conce cept pts Roles based approach

Configure your Business Units and your Roles along with the corresponding approval workflows based on your Governance Model

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Key co conce cept pts

Data movement engines* Batch ETL, streaming provisioning, fast- track ingestion, datalabs creation, distcp Data quality engines* Accuracy, completeness, timeliness, uniqueness, validity, consistency Data security & access engines* Encryption, masking, anonymization, profiling, filtering, back-up, erasure Visualization & analytics engines* BI tools, dashboards creation, automatic reporting, algorithms development Data storage systems* Databases, filesystems, blob storage, in-memory

(*) Peripheral engines are not included in Anjana Data Governance Solution

Technology-agnostic metadata management

Metadata-centric approach

Technology-agnostic metadata-centric approach to decouple data management from data storage, data flows and IT systems

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Key co conce cept pts

DECLARATIVE METADATA

Metadata declared by end-users, passively extracted from technical platforms as built-in configuration or inferred from analytical algorithms

EXECUTION METADATA

Metadata actively obtained after the processes execution

  • ver

the technical platforms or generated from the users activity and interaction

Comprehensive metadata management

Different types of metadata around every object in order to speed up and enhance your data governance strategy

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Key co conce cept pts Universal Core Metamodel

Governance implementation over several clusters and environments from a single application with a flexible and scalable metamodel

  • Uses data from datasets to generate new ones after its execution
  • It may be any software, engine or script with several instances
  • Logical group of datasets to ease regulated self-service of data
  • Includes a digital data contract specifying the terms of use
  • Logical group of processes instances to control e2e use cases
  • Regulates the use of data by machine users with a data contract
  • Physical asset containing or representing data (structured or not)
  • It may be a file, a table, a document, … from a variety of formats

Dataset Process DSA Solution

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Key co conce cept pts Comprehensive data lineage

End 2 end data lineage management and visualization to have a simple and unified view of the data map

It is automatically generated from the relationships between the different objects and may be represented both at object level and at field level

Static lineage

It includes not

  • nly

the relationships between datasets and processes instances but also with other objects such as DSAs, Solutions, adhered users and Business Units

Extended lineage

Systems monitoring allows users to compare declared datasets, processes or data accesses with real executions giving them the possibility of misalignments detection

Dynamic lineage

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Key co conce cept pts Objects versioning

Providers may plan deprecation and expiration of objects while consumers may benefit from anticipating impacts on their assets and uses

Dataset

MODIFICATION Smart detection

  • f new version

Old version New version VERSIONING Modification with versioning workflow Deprecation with expiration date Impacts identification through lineage Alerts & notifications generation

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Key co conce cept pts Anjana Data Portal

The place where every user may search, discover and understand any object as well as request access to the different data assets

An advanced and intelligent search engine to ease data democratization and consumption: ✓ Apply dynamic filtering, order your results by different fields or perform specific queries to find what you need ✓ Use technical or functional language at your convenience (name, location, tags, business unit, data privacy, …) ✓ Discover every DSA, dataset, process or solution along with their versions and governance mode (active or passive) ✓ Rapidly look for owned objects as well as those with adherence pending or approved ✓ Add all different datasets or DSAs you may want to your shopping cart for access request ✓ View detailed metadata for every available object and sample data if allowed by the owner

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Key co conce cept pts Shopping Cart & Data Sharing Agreements

Enable data access management centralization while offering data stakeholders a new experience for information sharing

Creation Adherence Deprecation Versioning ✓ Logical group of datasets to establish a global data access

model easing data democratization and sharing

✓ Flexible, adaptable and fully customizable metadata ✓ Each DSA has just one contract and it may have different

levels of sensitivity based on included datasets

✓ May be created by diverse roles but validated by several ✓ Business users ask for adherence to the DSAs for data use

WHAT IS A “DSA”

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Key co conce cept pts Multi-party contracts establishment

It allows owners to transfer rights and responsibilities over data under a legal coverage while easing sharing, use and consumption

✓ Legal

agreement between data providers and data consumers to ease data sharing, use and consumption

✓ Specifies the corresponding license terms ✓ Used under a specific scenario with well defined conditions ✓ Includes date of validity for deprecation and expiration ✓ Validated by Legal/Compliance and Governing Bodies ✓ Mandatory to read before signed by data consumers

Data consumers Business users adhered to the DSA Data providers Data owners from included datasets Contract intermediary Data owner of the DSA Governing Bodies Cross-domain areas controlling data sharing and consumption

WHAT IS A “DATA CONTRACT”

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Key co conce cept pts Active governance for DataOps

Integration capabilities with different platforms and technologies to automate common technical processes

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Key co conce cept pts New Generation Business Glossary

Fully integrated over Data Catalog, flexible and customizable to represent the semantic understating of data for every organization

In-sync with CORE metamodel to offer users the possibility to seamlessly perform a complete trip over data both top-down and bottom-up: ✓ Based on three main objects: containers, terms and relations; each one with their

  • wn flexible and customizable attributes.

✓ Easily jump from the business side to the technical side there and back, navigating between Business Glossary to Data Catalog. ✓ Dynamic generation of templates and forms to help users create new terms and relations between objects in an intuitive and easy way. ✓ Advanced search engine and terms dictionary to easily find what you are looking for. ✓ Data assets crowdsourcing in order to create actionable knowledge based on governed data. ✓ Alerts & notifications module is integrated in order to enhance stakeholders collaboration and interaction under an advanced UI & UX. ✓ Assistance capabilities through the analysis of user behavior and the inclusion of advanced analytics, AI & ML algorithms in the background.

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