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www.pwc.com Queens University Business Intelligence Real-world applications PwC Insight & Analytics team (October 2014) Contents PwC 1. Introduction 2. Overview 3. Insight 4. Analytics 5. Big Data 6. Questions? 2 Lecture Introduction This lecture will focus on the latest People, Process and Technologies which are found in an organisation and how to resolve some of the key issues they face. We will focus on; • The emerging trends in BI • The new approaches businesses are taking to implementing BI to realise benefits across the following areas… Overview • Key Messages • Emerging themes • Implementation PwC Insight • What is “Insight” • Procurement Hub Analytics • Spend Analytics • 2 Examples • Dashboard Demo Big Data • Prospects • Videos • UK Biobank Study • Challenges 3 Team Introduction PwC PHIL Dunn MANUS O’Donnell FEARGHAL Campbell ALEX PorochineO’Neill 8 Years PwC, Manager 4 Years PwC, Manager 1 year PwC, Associate 1 year PwC, Associate QUB OU QUB QUB 4 Intro The aim of this lecture, is to give you a non technical perspective of how Business Intelligence (BI) is used in the real world… 1. What is Business Intelligence? The collective term for strategies, methods and tools that empower an organisation to unlock value from their data 2. Why do businesses need Business Intelligence? Without it, businesses would make poor decisions based on gut instinct alone 3. Business challenges in implementing Business Intelligence Objectives? Ownership? Sceptic? Skills? Data Quality? Cost? 4. Business Intelligence isn’t new, so what’s different? Demand (competitive edge), Opportunity (Data Volumes), Accessibility (new software integration), Lowering Cost PwC 5 Content Introduction Overview Insight Analytics Big Data Questions? Data Analytics: The Art and Science of Decision Making https://www.youtube.com/watch?v=6naW6Kg23q4 PwC September 2014 7 Overview - Key Messages 1. Business Intelligence, while always important, is now critical to enable businesses to effectively; Manage Risk & Regulation Operational Efficiency Enhance Revenue PwC • Exposure to debtors • Timely regulatory compliance • Consistent global reporting • Reduce complexity • Focus employees on value add • More agile by removing operational burden 8 2. Helps businesses overcome the underlying technological complexity e.g. integrates with source data (structured & unstructured) 3. Increasing volume of data requires businesses to have good underlying data management e.g. how do we effectively integrate growing volumes of data? 4. Businesses are likely to have different levels of ‘maturity’ in the skills and abilities required to deliver good business intelligence e.g. how does aspiration & vision relate to reality? 5. Implementing BI in a business is not easy and has a number of business, and then, technology challenges e.g. agreement of who “owns” data and who has the right data? PwC 9 Overview - Emerging trends in BI – Data A service (internal or external) that provides DQ capabilities Data Quality Bureau A means by which to deliver technology – renting rather than owning (SaaS, IaaS) Information Asset Management Cloud Computing Big Data Utilise ever growing sources and volumes of data to achieve new insight Approach to treat Information as an asset in the same way as £ or staff Master Data Management Operational Data warehouses Ensuring trusted definition of key information Data sources containing specific operational data e.g. HR, Finance Connecting information across the enterprise Enterprise Information Integration BI Competency Centres Dedicated skills/business function to support Business intelligence with business and technology skills PwC 10 Overview - Emerging trends in BI – Reporting & Analytics Hardware Analytics Having Analytics carried out by a 3rd party using your Data. On-demand Analytics Prebuilt Servers and software bundles, optimised for analytics Data Visualisation Combining and presenting Data using visually rich techniques so as to derive new insight Drill-Down Reporting Ability to ‘drill’ down from high level report/figures to underlying detail SaaS/PaaS Software or Platform – as a service PwC 11 PwC Reporting & Analytics Layer Economics Finance Document Exports Operations Operational Reports People Strategy Technology Dashboards GRC Analytics Business Intelligence Applications Analytics Applications Data Mart Cubes Operational Data Store Data Warehousing Data Management Client Data Data Quality Data Profiling Master Data Management ETL CRM Enterprise Resource Platform Transaction Data Other Data Business Intelligence Competency Centre Analytical Queries Analytical Services BI&A Platform Enterprise Information Platform Source PwC NITSC Analytic Team Output Overview - How clients are implementing BI to realise value? Content Introduction Overview Insight Analytics Big Data Questions? Procurement Insight Hub A comprehensive suite of analytics services to help build capability and deliver actionable procurement insight Are internal controls effective? Have we any internal fraud? Can we effectively track and manage risk, trends and problem areas in our supply chain? Are our suppliers delivering on time and in full? Can we measure poor performance? Are we getting value from our suppliers? Are our contracts delivering value? PwC What is the potential for cost savings in procurement? How much of procurement spend is outside of compliance rules or targets? How can we pre-empt issues before they arise ? Can we procure better through planning and insight? 14 The Process of Procurement Analytics PwC Solution Centre Upload to Cloud Client Create Data Cube Industry Expertise Validation & Feedback Data Uploaded into Tableau Procurement Team SFTP Procurement Analytics End User Visualisation An Insight & Analytics Solution • Aggregate - Collect and assemble data from disparate IT systems in order to get completeness of procurement spend. • Cleanse - cleanse multiple versions of vendors with separate unique ID’s, material descriptions and PO coverage. • Enhance - improve your data through classification and application of CMG’s, utilising 3rd party data sources e.g. D&B. • Analyse - conduct best practice procurement analytics, identifying risks and opportunities for improvements. • Visualise – present the information in a visually rich way that assists you in understanding your procurement spend but also identify and monitor the realisation of improvement opportunities over a longer period of time. PwC 15 Spend Analysis – Global Technology Client Situation and Approach Our client engaged PwC to support a 3rd Party Spend challenge in their EMEA business. The business was approaching the savings target through a large number of bottom up initiatives driven by the experience of the Regional leadership teams. PwC were engaged to provide increased visibility of current third party spend to a broader audience of stakeholders and use this insight to drive additional savings opportunities. Specifically PwC were asked to: Develop a Spend Cube to allow the business to analyze and manage 3rd party spend Use the insight provided by the Spend Cube combined with our category and procurement expertise to propose additional cost reduction activities Over a four week period, PwC processed 2.2million line items to build a spend cube which delivered all of our client’s EMEA spend data in one place, bringing together key dimensions from their ERP systems to deliver a flexible reporting layer. Results Created general spend overview and additional customized views including: Spend by Legal Entity & Account, by PO Requestor Detail , Spend vs Number of Suppliers, Top Suppliers by Category, Spend by Service Line, Capability & Customer Account, Spend by Country (Physical) over Time PwC has also improved data quality using new categorization tables and data cleansing including: A cleansed view of 9,000 supplier names, allocating an additional $300m of spend to customer accounts, and adding visibility of supplier details for additional $30m of spend PwC worked with the business to develop an approach to reduce the 3rd party spend with 4 focus areas: A review of the top 100 suppliers to ES EMEA (67% of spend), and then the second 100 suppliers Focus on supplier consolidation by business unit and category to drive more strategic and coherent sourcing A review of suppliers which only serve one region or country (34% of spend) Standalone projects which focus on the aggregation of demand in specific categories or capabilities PwC continues to support the focus areas above and provide ongoing support to the data cube for this 16 client. PwC Content Introduction Overview Insight Analytics Examples Big Data Questions? Large Global Airline - 6 week Project – Rapid Insight 15,000 Suppliers 216 Locations 6 Weeks 56 Currencies 18 Months of Data 1+ Million invoice lines 5 Key Data Sources PwC £5 Billion spend We have created a consolidated and interactive spend analytics tool Global Brewer – 1.5 years - Sustainable Analytics Reporting • 100’s millions (Euro) annual savings • 24 SAP systems • 8 billion Euro total spend Dashboard Interactive Report Search & Explore Analyze Report Master Data Mgt 4 * Data Enrich Validated Data 3 Location hierarchy D&B PO POC Data Warehouse AP MD 2 Categorization Transactional Data and Masterdata CEE Americas AME UK France Austria Romania Brazil Egypt Finland Italy Poland Russia Mexico Nigeria NL Spain Serbia Hungary HUSA South Africa Belgium Other OpCos Bulgaria Other OpCos Other OpCos Other OpCos PwC 1 AP Indonesia Other OpCos Content Introduction Overview Insight Analytics Big Data Questions? What’s Big Data? “Big Data is all data that has previously been ignored due to technical limitations.” Complex Variety Big Data PwC Large Volume Dynamic Velocity October 2013 21 What’s Big Data? Variety Unstructured Semistructured Photos Sensor data Web logs Inventory records Supplier details BIG DATA Customer details Climate data Satellite images Traffic signs Structured Transactions X-Ray scans Video Invoice records Audio GPS Employee details Product details Maps RFID Books & articles Text messages & comments Big Data PwC October 2013 22 What are the prospects of Big Data? Customer retention Genome analysis Fraud and money laundering detection Crime prevention Product usage Machine failure detection Big Data PwC Cost optimisation Health diagnosis October 2013 23 Video – Example of Big Data usage http://www.youtube.com/watch?v=wqhZl-av9r8 PwC 24 What are the prospects of Big Data? - PwC case study Public Access Search the Information Resource Restricted Access and Researchers Search and Analysis Website & Access Process Brain and Eye Scans Genomic Data Participant Clinical Visit Data Proteomic Data HES, Cancer and Death Register data Metabolomic Data Completed Research Data Big Data PwC BIOBANK VIDEO Data from New Study Areas •Epigenetics •RNA October 2013 25 What are the challenges? Protecting private and confidential data Lack of skilled resources (Data Scientists) Choosing a wrong technology can be very expensive Ensuring quality data Big Data PwC Managing metadata October 2013 26 Content Introduction Overview Insight Analytics Big Data Questions? Business Intelligence – The power to know… Any Questions? Business Intelligence – The power to know… This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it. © 2011 PricewaterhouseCoopers LLP. All rights reserved. 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