Data Governance

July 2014

Introduction

• This document aims at listing key issues in Data Governance and study the value offered by KeeeX

• KeeeX is non intrusive, since documents retain normal functionality, and there is no infrastructure

• Hence KeeeX needs not solve the whole technical data governance problem, but may operate as a complement to existing frameworks and infrastructures

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What is KeeeX

KeeeX is a unique patented solution to seamlessly improve files to• assert that they never changed, ensure authorship• give them a web scale unique name• index them with artificial, pronouceable words for instant

searches• link them to author, signer, secret documents, context,

concepts, classification for instant context related searchesIn the rest of the document, we'll use the following visualto state that KeeeX addresses an issue

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Information Security(quoted from wikipedia)

Integrity• the core feature of keeex: assert that data was not modified

Authenticity• via embedded PKI signatures (gpg, ecc)

Availability• by allowing many duplicates• by not relying upon a software suite (files as usual)

Non repudiation• by communicating the document identifier, which may not

be guessed or randomly collide with another valid document

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Data Governance(quoted from wikipedia)

• Data governance is a set of processes that ensures that important data assets are formally managed

• Data governance ensures that data can be trusted and that people can be made accountable for any adverse event that happens because of low data quality.

• It is about putting people in charge of fixing and preventing issues with data so that the enterprise can become more efficient.

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What KeeeX Offers

[...]important data assets are formally managed• KeeeX lets users formalize semantics, processes down

to the finest level of detail[...] data can be trusted and people can be made accountable of low data quality.

• KeeeX embeds data integrity and authorship[...] put people in charge of issues with data.

• KeeeX lets people collaborate and share organization and viewpoints inside and around data

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Data Governance(http://searchdatamanagement.techtarget.com)

Data governance (DG) refers to the overall management of the • availability, • usability, • integrity,• security

of the data employed in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures, and a plan to execute those procedures.

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What KeeeX Offers

availability• KeeeXed files require no infrastructure, and can be forever

duplicated, since proving a file never changed is a snapusability• KeeeXed files require no infrastructure, and KeeeX does

not alter their capacity of being opened, edited, integrity• the core feature of KeeeX: assert that a file never changed

security • keeex has no infrastructure, hence is compatible with any

security, backup, protection, cloud... solution

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Data Governance(quoted from http://www.datagovernance.com)

“Data Governance is the exercise of decision-making and authority for data-related matters.“or“Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”Depending on the context, “Data Governance” could refer to:

• organizational bodies• rules (policies, standards, guidelines, business rules)• decision rights (how we “decide how to decide”)• accountabilities• enforcement methods

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What KeeeX Offers

organizational bodies• KeeeX ECM is a management tool

decision rights (how we “decide how to decide”)• KeeeX allows for the definition of validation schemes and

processesaccountabilities• KeeeX embeds file history and authors in documents

enforcement methods• KeeeX requires that data has been properly categorized to

enter process chains and archival schemes

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Goals of Data Governance(quoted from http://www. architectureandgovernance.com)

By Martha Dember, http://www.architectureandgovernance.com/content/7-stages-effective-data-governanceExecutive Summary"Data governance is not just a collection of ad-hoc data quality projects, but the development and integration of a set of rules - policies, guidelines, and standards - for managing the corporation's data. It is implemented by a data governance management team of information technology and business associates who are unified by a common goal to ensure that:

• data is what it is supposed to be (Data Quality) • data is in the correct context (Data Integrity) • data and metadata are accessible (Data Usability)

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What KeeeX Offers

data is what it is supposed to be (Data Quality) • the core feature of KeeeX: assert that a file never changed

data is in the correct context (Data Integrity) • KeeeX lets files link to others by embedding references.

These references cannot be removed and can be searched exactly (by their web scale unique identifiers)

data and metadata are accessible (Data Usability) • data is what is always was, the file format is not corrupt by

KeeeX, and the metadata are written in plain readable text inside the files themselves

• possibly many copies further improve accessibility

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Goals of Data Governance(quoted from http://www.datagovernance.com)

Typical universal goals of a Data Governance Program:• Enable better decision-making• Reduce operational friction• Protect the needs of data stakeholders• Train management and staff to adopt common approaches

to data issues• Build standard, repeatable processes• Reduce costs and increase effectiveness through

coordination of efforts• Ensure transparency of processes

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What KeeeX Offers

Enable better decision-making• perfectly accurate semantic categories, perfect knowledge

of file lifecycle, including endorsements and referencesReduce operational friction • aggregate data from multiple channels for instant

availability, allow for one click validation/agreement schemesProtect the needs of data stakeholders• by simply ensuring that the data can be found easily then

verifiedReduce costs and increase effectiveness through coordination of efforts• organization becomes a collective matter. Best practices

naturally emerge by sharing. Even process related searches can be shared.

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Goals of Data Governance(quoted from wikipedia)

• Increase consistency and confidence in decision making• Decrease the risk of regulatory fines• Improve data security• Maximize the income generation potential of data• Designate accountability for information quality• Enable better planning by supervisory staff• Minimize or eliminate re-work• Optimize staff effectiveness• Establish process performance baselines to enable

improvement efforts• Acknowledge and hold all gain

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What KeeeX Offers

Increase consistency and confidence in decision making• keeex provides perfect knowledge

Decrease the risk of regulatory fines • (see 'legal issues' slide)

Improve data security • (see corresponding slide)

Maximize the income generation potential of data• by making data perfectly traçable and verifiable, and

allowing to promote it to the level of company assetsDesignate accountability for information quality• by perfectly identifying the authors

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What KeeeX Offers

Enable better planning by supervisory staff• via data searches tuned to the finest level of detail

Minimize or eliminate re-work• by knowing perfectly the state of documents, and by

allowing to validate documents by components (contracts)Optimize staff effectiveness• by enabling perfect per user listing of tasks, and allowing

ultra simple and adaptive workflow management

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Legal Issues(quoted from http://fedisa.eu)

A legally compliant document management system must satisfy the following criteria :

• sustainable, long lasting file format• ability to identify a file's origin • capacity to assess a file's integrity• master the life cycle of files• respect per document type rules of conservation • capacity to retrieve by criteria• capacity to destroy by criteria

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What KeeeX Offers

sustainable, long lasting file format

• KeeeX is compatible with many formats, including archival ones. ability to identify a file's origin

• KeeeX traces previous versions and authors and contextcapacity to assess a file's integrity

• core feature of KeeeXmaster the life cycle of files

• KeeeX embeds versions and references, traces endorsementsrespect per document type rules of conservation, andcapacity to retrieve by criteria, andcapacity to destroy by criteria

• by enabling fine tuned data searches, and remaining compatible with file system searches and edit

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Conclusion

• We have seen that KeeeX helps at solving a large subset of clearly identified issues in data governance.

• It does so at a very limited cost thanks to the absence of infrastructure and of working at the document level.

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Referencesarchive reference documentts possibly available at http://www.wuala.com/lo-1/public/KeeeX/, or maybe searched from their key on the web (after indexing has taken place), or finally asked to the author.

‣ http://en.wikipedia.org/wiki/Data_governance as of 28 July 2014‣ http://en.wikipedia.org/wiki/Information_security as of 29 July 2014‣ http://searchdatamanagement.techtarget.com/definition/data-governance as of 29 July 2014

• What is data governance (DG)_xedap-dogof-cubuf.pdf• redap-dogof-cubuf-soheh-zecak-moroz-polik-vuris-misav-surev-seciz-ravet-vulih-facek-ropuc-

depyv-nuxyr‣ http://www.architectureandgovernance.com/content/7-stages-effective-data-governance as of 29 July

2014• 7 Stages for Effective Data Governance Architecture and Governance – Strategic IT Planning

and Enterprise Architecture_xudib-gihab-kylam.pdf• rudib-gihab-kylam-fynuz-zebop-rotys-divev-fucug-vilem-cacud-kusem-sicur-lugom-makid-

zanyr-rygud-luxyr‣ http://www.datagovernance.com/adg_data_governance_goals/as of 29 July 2014

• Aperçu de « Goals and Principles for Data Governance The Data Governance Institute »_xupem-boged-fytoh.pdf

• rupem-boged-fytoh-bafib-tamur-vetem-muvab-lanan-kisum-dyrup-gevyz-zihat-falaz-timyk-gyrer-gofaf-fixyr

‣ Gouvernance de l'Information et Big Data - Fedisa - March 2014• WP-GOUVERNANCE-BIG-DATA-FR_xelop-pozal-nebaf• relop-pozal-nebaf-luruk-fobod-pylal-cupyk-mocyc-zadup-sihik-vagig-nunek-sizuh-fiheh-dutur-

holut-koxur

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KeeeX

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KeeeX is a software start-up founded by Laurent HENOCQUE, expert in semantic web, HMI.

KeeeX leverages a patented all-in-one signature and indexing technology that seamlessly engraves files for life.

The Team is based in Marseille, backed by the Digital Media Incubator, SATT SE and various financial partners.

Laurent Sylvain Aoshi Nicolas

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Go to KeeeX.io and try it!

Laurent HENOCQUE

laurent@keeex.net

+33 683 88 20 01

Nicolas FIORINI

nicolas@keeex.net

+33 662 88 97 13