AttovaEnterprise visualisation for competitive advantage Filip Greenwich
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.
Background • Unstructured and structured data volumes continue to grow exponentially, giving rise to a new type of ‘knowledge infrastructure’ • Regulatory changes dramatically affecting data requirements • A new era of big data is also emerging • Its application will be a key way for leading companies to outperform their competitors • Advances in technology - implications
Background• Increasing the use of Information/Analytics, business process improvement and reducing enterprise costs will continue to remain top business priorities for CIO’s ( Gartner annual CIO Survey- A Time Of Great IT Transition)
Business Challenges• Business: lack of visibility to all data• Trading: Analyse and correlate complex data in real-time to maintain competitive advantage• For Managers: reducing costs, improving efficiencies and improving productivity• For IT – understanding the impact to technology in changing business decisions
Business Challenges How can financial institutions make sense and profit from the huge amounts of data across their business layers?
VisualisationVisualisation refers to the innovative use of images andinteractive technology to see , explore and share largequantities of information in new and meaningful waysFundametally about showing quantitative andqualitative information so that a user can spottrends, patterns or anomalies, constancy or variation ina way that other forms- text and tables – do not allow
Visualisation• Data visualisation is in the middle of a remarkable growth phase.• Proven to contribute impressively to improvements in business user insight, productivity and adoption of ‘dashboarding’ ( preferred medium for visualisation) (TDWI Best Practices Report 2011)
Visualisation• Two main categories of data visualisation – Visual reporting ( defined by metrics and time series information) – Visual analysis ( explore data to discover new insights) – ( filter, compare and correlate at the speed of thought) – (statistical, forecasting, what – if and predictive analytics)• Also focus on – Visual modelling – Visual collaboration
Mass Market• Wall Street Journal offers free service with Interactive Graphics Source: www.online.wsj.com
Mass Market • NY Times offers readers Visualisation Lab • Amateur investors have at their disposal a rich array of interactive charts to analyse both individual stock performance and market trends • Visualisation is helping to influence stock purchases by ‘main street’ investors. Source: www.nytimes.com
Visualisation in Financial Markets• What if-analysis to help understand the effects of changes in investment decisions• Monitor and manage risk across geographies• Dynamic report generation• Find market trends first• Audit order execution, market spreads, costs and trading behaviour• Build guided analysis flows for portfolio management• Build customer portals for investment performance
Visualisation in Financial Markets• Trade data analysis ( spot anomalies for compliance)• Monitor market, credit & counterparty, liquidity , fund risk management• Latency Monitoring• CEP monitoring (Source: linedata/lab49)
Visualisation Benefits• Make faster, more accurate and informed decisions• Efficient – Correlation of large data sets at the speed of sight• Meaningful-data in context rather than tables or lists• Make sense of unstructured data and feed it into decision making and process improvement activities• Making strategy real – Overcoming information barriers and decision control
Visualisation Challenges• Never a plug and play solution• One size does not fit all• Vary by – Type of user – Purpose ( strategic, tactical, operational, cultural)Customisation, collaboration and iteration arerequired for organisations to operate interactivevisualisation solutions that deliver maximumbenefits
Visualisation Challenges• Visualisation requires Foundational EIM and Information Automation disciplines – Master Data Management – Data Quality – Integration – In-memory, distributed and cloud-based infrastructure – Visualisation rendering and interaction tools
Approach• What does the business need?• Who are we addressing?• What is the information management mandate? – Master data management & data quality• Technology Choices? – Build v Buy? – Top Down v Bottom Up v Middle Out?
Approach• Understand the business purpose ( then know which techniques are applicable)• Understand the audience ( understand the intended usage- to guide scope and design)• Understand the information management mandate ( master data management and data quality are crucial parts of the visualisation story).• Address information management through a maturity assessment model, rather than through a series of redundant or divergent efforts• Explore: Tool decisions based on existing technology footprints and expected use cases
ApproachView visualisation as the new decision support lifecycle• Seven Stages of visualising data • acquire, parse, filter, mine, represent, refine and interact.• Very important that each visualisation best suits what you need to convey about your data set
Recommendations• Focus on requirements first• Ensure delivery of ‘High Quality Data’• Intuitive interface that supports an infinite class of visualisations• Prototype/Proof Of Concept• Know Your Users• Iterate• Apply visualisation best practices• Less Is More• Zero To Three
Attova’s services• Mission is to drive visualisation the front line of most customers businesses• Consulting and Technology services – Technology Adoption• Maturity Assessment Model - Data, Enterprise, Leadership, Technology, Analytics - Visualisation novice - Localised visualisation - Visualisation adoption - Visual organisation - Visual competitor
About Attova• Launched in 2011• Offers high performance business consulting & technology services into financial markets• Knowledge Network- a powerhouse of efficient, experienced and expert level independent consultants and performance technologists• Compelling operating model – Multiple solution options for client- flexibility and choice – Ability to precisely align the resource & technology to the solution – Define, Design, Deliver- single port of call