Beyond Data Governance Beyond Definitions and into the Business Reality
About Diaku 2008 Diaku begins as a data strategy & data governance consulting firm, running large data programmes for tier 1-2 banks in London & Amsterdam. Focus on data governance, reference data management & project optimisation. Data Governance Data Quality 2011 Fustrated with the Excel, Sharepoint and technical meta-data packages and leveraging its expertise on how to drive cultural change, the company builds its own collaborative information governance platform. Diaku Axon is born. Regulatory Insight 2015 Axon in use by clients across UK, continental Europe, and the USA. Established business & technology partnerships across these geographies. Recognition by Gartner, Forrester and Bloor research. Axon solution proven transferable across industries with expansion into Pharmaceuticals & Insurance. Lean Data Know your business, know your data Diaku 2015 2
Cool Vendor in Information Governance & MDM, 2015 Cool Vendors in Information Governance and MDM, 2015 Published: 30 March 2015 Analyst(s): Guido De Simoni, Roxane Edjlali, Saul Judah, Bill O'Kane, Andrew White Gartner Each year, Gartner identifies new Cool Vendors in key technology areas and publishes a series of research reports highlighting these innovative vendors and their products and services. Diaku is proud to have been recognised by Gartner as a Cool Vendor in Information Governance for 2015. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Diaku 2015 3
The Data Challenge Complexity of the Landscape Most firms are faced with complex data, business and technology landscapes. Organisations are highly fragmented with limited overall clarity on how it all hangs together Visibility of the Journey" Data travels a long way through the business. It is chopped-up, mixed, filtered and collated on its way. Firms need sight of that business journey and how the data is used along the way in order to control and improve things Collaboration" Businesses operate in silos and mostly rely on unstructured and non-collaborative tools to capture and share understanding. Specialist tools serve only specialists Structural need for broader understanding & better collaboration Diaku 2015 4
Current Understanding & Collaboration Toolkit Large organisations are complex, everchanging 1 & operated by people with a wide 2 variety of skillsets & responsibilities. Local knowledge of the business exists...??? Social platforms aid collaboration but lack structure to provide actionable understanding Today s workforce operates with a partial, disjointed view of the organisation. 3...but is isolated & hard to find 6? 5 Tactical solutions are a business reality but hidden from view? 4 Traditional tools have silo focus, require specialist skills & are used by a narrow audience Diaku 2015 5
Impacts of Poor Understanding & Alignment Costs & Revenue Unnecessary duplication & complexity Proliferation of workarounds & manual activity Poor customer service Missed opportunities Reduced competitiveness Change & Agility Slow time-to-market Inability to react to internal or external pressures Unintended consequences when implementing change Increased rate of failure in business transformation Control & Compliance Increase in mistakes & issues Compliance & regulatory failures Challenge in meeting strategic objectives Poor information in MI leading to poor business decisions The first step in problem solving is understanding Diaku 2015 6
The understanding exists... Specialist Discipline Example : Organisation Structures Clients Management & Strategy Example : COO Strategic Projects MI Reports Knowledge is everywhere, created and used in silos, representing specific stakeholder perspectives Products Continuous Improvement Business Operatives Data Quality Example : Operations Projects Regulation Data Definitions Data Data Specialist Discipline Example : Data Office Projects System System System System Issues End-User Computing Subject Matter Experts Example : Regulation Specialist Discipline Example : Architecture Diaku 2015 7
...it needs to be connected... Specialist Discipline Example : Organisation Structures Clients Management & Strategy Example : COO Strategic Projects MI Reports By connecting understanding an integrated picture develops, reinforced by the contibuting communities Products Continuous Improvement Business Operatives Projects Data Quality Example : Operations Regulation Data Definitions Data Data Specialist Discipline Example : Data Office Projects System System System System Issues End-User Computing Subject Matter Experts Example : Regulation Specialist Discipline Example : Architecture Diaku 2015 8
...and made accessible to everyone Specialist Discipline Example : Organisation Structures Clients Management & Strategy Example : COO Strategic Projects MI Reports Zoom in on any part of the organisation to trace dependencies and connect to the right people across the business Products Continuous Improvement Business Operatives Projects Data Quality Example : Operations Regulation Data Definitions Data Data Specialist Discipline Example : Data Office Projects System System System System Issues End-User Computing Subject Matter Experts Example : Regulation Specialist Discipline Example : Architecture Diaku 2015 9
Data Governance = Understanding & Collaboration Data governance is the discipline of bringing people together to promote responsible and aligned methods of working with data The discipline often focuses purely on the formal aspects - roles, definitions, policies etc. While important, these elements do not help identify nor quantify the data challenges faced by the business, and often struggles to support their resolution. It is essential to understand how the business uses its data Data governance traditionally takes a policing approach to data management. Modern data governance brings people into the model, let them be truly part of the data governance community by empowering them contribute to their understanding. Data cannot be fixed purely by data people. To make a difference data governance needs to excite and engage business people, change people, and technology people to come together and collaborate. Data will not get better by repeating old patterns. The only way out is through it - together! Diaku 2015 10
A connected way of working Collaborative Enterprise Understanding Puts people at the centre of understanding Enables everyone to contribute to a common view of the business regardless of skillset or discipline Builds communities and ownership via common interests Data Governance Data Quality Current State Analysis Impact Assessment Business Transformation Regulatory Compliance A shared view filtered to your perspective Holistic understanding that is interrogable and actionable Intuitive language for easy consumption Built from the knowledge that already exists in your business Diaku 2015 11
How it works A governed, controlled and shared view of your business with data and people at its heart Inventorise Connect Control Collate inventories describing the building blocks of your business Connect business & data together to provide context, relevance & lineage Filter, analyse & control a common view of the business Collaborate Leverage Combine ownership with a knowledgeable community at your fingertips Community Combine understanding & community to improve your business Diaku 2015 12
Diaku Axon : Demonstration 1. Local data dictionaries mapped to a central glossary 2. Dynamic data quality dashboards 3. Business context 4. Maps : Data lineage, overlays Diaku 2015 13
Sample Axon use cases (additional details available via info@diaku.com) Common use cases mapped to core capabilities & maturity requirements" Visibility Alignment Control - Measurability ID Name Visibility Alignment Control Measurability UC01 Reference Data Standardisation UC02 Trace Regulatory Reporting Lineage UC03 Data Quality Measurement in Context UC04 Data Quality Standardisation UC05 Root Cause Analysis UC06 Accelerated Understanding UC07 The Lean Enterprise UC08 Current State Analysis UC09 Progressively build up Data Lineage UC10 Definition Standardisation UC11 Change Programme Optimisation UC12 Managing Regulatory Change UC13 Document Management Support UC14 Supporting Big Data UC15 Data (and Business) Governance UC16 Business to Technical Data Mapping UC17 Information Alignment & Reuse Diaku 2015 14
Appendix Appendix I : Diaku Axon Products Appendix II : Diaku Axon Screenshots Appendix III : Pre-configured Facets Diaku 2015 15
Appendix I : Diaku Axon Products Diaku Axon A structured, collaborative information governance platform that enables a unified understanding of how the firm really works Axon : Regulation Insight Collaborative breakdown and analysis of regulatory change, mapped to your business Working together to solve two of the biggest challenges of the modern organisation Diaku 2015 16
Appendix II : Diaku Axon Screenshots Diaku 2015 17
Appendix II : Diaku Axon Screenshots Diaku 2015 18
Appendix III : Pre-configured Axon Facets Data Organisation Regulation Data Glossary Data Quality System Maps Report Dashboards Change Request Project Business Area Product Client Legal Entity Regulation Reg Document Regulator Jurisdiction Compliance Impact Assess. + Customisable Additions Diaku 2015 19