Unlocking Business Value Using Data
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This document discusses how businesses can unlock value from data using analytics. It notes that the volume and variety of available data is growing rapidly due to sources like IoT. Analytics can help businesses make faster, better decisions by delivering insights across departments like marketing, sales, and customer experience. The goal is for businesses to be able to manage operations in real-time using analytics to track things like customer journeys, behavior, and sales. This requires flexible technology and expertise to collect data from anywhere, correlate all information, and deliver agile analytics.
Unlocking Business Value Using Data
- 1. Unlocking business value using data 1
- 2. Coverage 1 2 3 Key characteristics of the analytics market Making faster and better business decisions What insights are business leaders looking for?
- 3. Unlocking business value using data 1 2 3 Key characteristics of the current analytics market Making faster and better business decisions What insights are business leaders looking for?
- 4. 4 The range of data sources is growing Formats Unstructured Structured Online Services Web Services Servers Security GPS Location Storage Desktops Networks Packaged Applications Custom ApplicationsMessaging Telecoms Online Shopping Cart Web Clickstreams Databases Energy Meters Call Detail Records Smartphones and Devices RFID Semi-structured
- 5. Internet of Things (IoT) is here Consumer IoTIndustrial Data Transportation | Energy | Utilities | Building Management Oil and Gas | Manufacturing Wearables, Home Appliances, Consumer Electronics, Gaming Systems, Personal Security, Set-Top Boxes, Vending Machines, Mobile Point of Sale, ATMs, Personal Vehicles Sensors, Pumps, GPS, Valves, Vats, Conveyors, Pipelines, Drills, Transformers, RTUs, PLCs, HMIs, Lighting, HVAC, Traffic Management, Turbines, Windmills, Generators, Fuel Cells, UPS 5 Retail | Home | Consumer Telemedicine | Connected Cars
- 6. This is driving the growth in data volume • 25bn active sensors by 2020 • Digital data volume doubles every 2 years • Non structured data growth exponential • Only a fraction being analysed Source: IDC
- 7. An overview of the analytics market Now Future Analytics Consumer IoT Industrial Data Analytics Consumer IoT Industrial Data IoE
- 8. Big data and analytics go hand in hand 8
- 9. Unlocking business value using data 1 2 3 Key characteristics of the analytics market Making faster and better business decisions What insights are business leaders looking for?
- 10. 10 10 Analytics will increasingly drive business decisions Easy access to all data Delivering insights across the organisation Marketing Explore Visualize Dashboards ShareAnalyze Legal SalesCustomer experience CEO / CRO
- 11. Our purpose To help brands extract the maximum business value from all of their data
- 12. 12 Established brands are at a disadvantage • Legacy systems • Incomplete / out of date information • Multiple customer IDs • Business in silos • SCV / correlation difficult • Linked systems • Data capture complete / linked to business strategy • Single customer ID • Integrated business • SCV / correlation planned The situation will get worse as the number of data sources increases… Established brands New / challenger brands
- 13. Technology needs have changed “….new information management capabilities required to integrate information from unstructured (and semi-structured) information sources.” “…..traditional data warehouse to support BI platform is no longer sufficient.”
- 14. A modern analytics platform COLLECT DATA FROM ANYWHERE CORRELATE EVERYTHING DELIVER AGILE ANALYTICS
- 15. Unlocking business value using data 1 2 3 Key characteristics of the analytics market Making faster and better business decisions What insights are business leaders looking for?
- 16. The goal: the ability to manage your business in real time
- 17. 17 How do we deliver this?
- 18. Where can analytics make the most difference? The primary focus for Big Data projects… Customer experience 64% Business processes 47% Respondents: companies that have invested in Big Data technology Targeted marketing 47%
- 19. Track customer journeys Monitor / model customer behavior Prevent lost revenue Omni-channel retail analytics
- 20. Customer journey mapping Previously accepted model for customer journey through JohnLewis.com Real customer journey through JohnLewis.com validated by machine data and Splunk
- 21. Real-time insight enables speed of innovation Trend analysis for campaigns & advertising services Deeper understanding of user behavior Listening to customers
- 23. Driving revenue in retail 23 • Real time sales monitoring of the retail estate • Machine learning to predict sales volumes • Insights to drive marketing activity
- 24. In conclusion 24
- 25. In conclusion Supporting decision making across the organisation Flexible technology and subject matter expertise required Insights required Business wants to make fast decisions Technology can support by delivering ‘smart’ decisioning tools Decision making Characteristics An increasing volume and variety of data Unique opportunity to drive value
Editor's Notes
- #5: Splunk products are being used for data volumes ranging from gigabytes to hundreds of terabytes per day. Splunk software and cloud services reliably collects and indexes machine data, from a single source to tens of thousands of sources. All in real time. Once data is in Splunk Enterprise, you can search, analyze, report on and share insights form your data. The Splunk Enterprise platform is optimized for real-time, low-latency and interactivity, making it easy to explore, analyze and visualize your data. This is described as Operational Intelligence. The insights gained from machine data support a number of use cases and can drive value across your organization. [In North America] Splunk Cloud is available in North America and offers Splunk Enterprise as a cloud-based service – essentially empowering you with Operational Intelligence without any operational effort.
- #7: More to business analytics than just data warehousing.
- #8: 7
- #11: Hunk (Splunk Analytics for Hadoop) is a full-featured, integrated product offering – that delivers interactive data exploration, analysis and visualization for Hadoop. Full-featured, integrated product: Insights for everyone: Works with what you have today:
- #13: Splunk products are being used for data volumes ranging from gigabytes to hundreds of terabytes per day. Splunk software and cloud services reliably collects and indexes machine data, from a single source to tens of thousands of sources. All in real time. Once data is in Splunk Enterprise, you can search, analyze, report on and share insights form your data. The Splunk Enterprise platform is optimized for real-time, low-latency and interactivity, making it easy to explore, analyze and visualize your data. This is described as Operational Intelligence. The insights gained from machine data support a number of use cases and can drive value across your organization. [In North America] Splunk Cloud is available in North America and offers Splunk Enterprise as a cloud-based service – essentially empowering you with Operational Intelligence without any operational effort.
- #14: More to business analytics than just data warehousing.
- #15: Our goal is to deliver analytics to everyone: Ingest all data sources + correlate wherever possible As most of you now, ithe platform is flexible enough to provide a range of functionality, including: Machine learning Anomaly detection Alerting We can deliver Analytics as a Service – the outputs you need, when you need them And perhaps most importantly in the modern business world, we can be agile – helping you to react to an ever changing marketplace
- #19: More to business analytics than just data warehousing.
- #21: Real insight into customer journey Did JLP make it easier for customer based on this insight?
- #22: Shazam are pioneering the way we consume music on our mobile with their app downloaded onto more than 500 million mobile devices to date and adding users at a rate of 13 million per month. They have about 100 million monthly active users and they “Shazam” more than 20 million times per day. Shazam use Splunk for real-time business analytics for their customer service, engineering and sales/marketing teams. They use Splunk to monitor customer experience, new feature adoption, improve user engagement and accelerate their product innovation.