O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.

ADV Slides: 2020 Trends in Enterprise Advanced Analytics

396 visualizações

Publicada em

It is a fascinating, explosive time for enterprise analytics.

It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.

The coming years will be full of big changes in enterprise Data Architecture. William will kick off the Advanced Analytics 2020 series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now. He’ll be going into 2020 and beyond, since the winners will have an eye on the long view for the source of competitive advantage that is data and analytics.

Publicada em: Dados e análise
  • Seja o primeiro a comentar

  • Seja a primeira pessoa a gostar disto

ADV Slides: 2020 Trends in Enterprise Advanced Analytics

  1. 1. Trends in Enterprise Advanced Analytics Presented by: William McKnight President, McKnight Consulting Group williammcknight www.mcknightcg.com (214) 514-1444 #AdvAnalytics
  2. 2. William McKnight President, McKnight Consulting Group • Frequent keynote speaker and trainer internationally • Consulted to Pfizer, Scotiabank, Fidelity, TD Ameritrade, Teva Pharmaceuticals, Verizon, and many other Global 1000 companies • Hundreds of articles, blogs and white papers in publication • Focused on delivering business value and solving business problems utilizing proven, streamlined approaches to information management • Former Database Engineer, Fortune 50 Information Technology executive and Ernst&Young Entrepreneur of Year Finalist • Owner/consultant: 2018 and 2017 Inc. 5000 strategy & implementation consulting firm • 30 years of information management and DBMS experience 2
  3. 3. A Foundation for Change
  4. 4. 1 in 2 customers integrate insights/experiences beyond Looker 2000+ Customers 5000+ Developers 1000+ Employees Santa Cruz San Francisco New YorkChicago Boulder Tokyo Dublin London Empower people with the smarter use of data
  5. 5. 1 https://emtemp.gcom.cloud/ngw/globalassets/en/information-technology/documents/trends/gartner-2019-cio-agenda-key-takeaways.pdf Digital-fueled Growth is the Top Investment Priority For Technology Leaders.1 Rebalance your technology portfolio toward digital transformation Percent of respondents increasing investment Percent of respondents decreasing investment Cyber/information security 40%1% Cloud services or solutions (Saas, Paa5, etc.) 33%2% Core system improvements/transformation 31%10% How to implement product-centric delivery by percentage of respondents DigitalTransformation Business Intelligence or data analytics solution 45%1%
  6. 6. 1 https://www.forrester.com/report/InsightsDriven+Businesses+Set+The+Pace+For+Global+Growth/-/E-RES130848 Insights-driven businesses harness and implement digital insights strategically and at scale to drive growth and create differentiating experiences, products, and services.1 7x Faster growth than global GDP 30% Growth or more using advanced analytics in a transformational way 2.3x More likely to succeed during disruption
  7. 7. Looker Data Platform Governed metrics | Best-in-class APIs | In-database | Git version-control | Security | Cloud Fully custom application to 1M merchants for granular drillable analytics at scale Productize self-serve analytics at scale Best-in-class in-app analytics to compete upmarket and achieve net new growth Monetize your data to drive new growth Build better data products Data Lake Smarter customer acquisition with dynamic AI-powered bid engine Fully automate optimization in real-time Clean data for legacy tools, ML/AI workflows with governed IT Services layer Augment legacy tech as you modernize Infuse workflows with data Fortune 50 Telecom Modernize business intelligence 360-degree understanding of customers across all channels: web, apps, print, and more Deliver best-in-class Business Intelligence Reduce churn with automated alerts and email follow ups for success managers based on customer health Tailor data experiences for any department
  8. 8. Technology Layers Built on the cloud strategy of your choice In-database architecture Semantic modeling layer ‘API-first’ extensibility
  9. 9. ©Looker2019.Confidential Optimize Performance Database & Transformation Centralize Business Metrics with Pre-Modeled or Custom Data Models Governance & Modeling Explore & Present Looker Platform Architecture Security / Privacy/ Encryption Modern Self- service BI Unlimited Data Experiences Validate & Track Changes to Data Model Analyze Usage & User Behavior Leverage powerful database features Support for 50+ Unique SQL Dialects Flexible In-Database Transformation Write Custom SQL Optimize Query Performance Secure Access to Your Data and Analytics Data Monetization Near Real-time Alerts at Scale Automated Data Delivery Workflow Integrations Custom Data Products Manage Content Schedule Reports Ad-Hoc Analysis VisualizationDashboards ... APIforData SDKs,DeveloperCommunity,UIComponents
  10. 10. ©Looker2019.Confidential Modern Self- service BI Data Monetization Near Real-time Alerts at Scale Automated Data Delivery Workflow Integrations Custom Data Products APIforData SDKs,DeveloperCommunity,UIComponents Optimize Performance Centralize Business Metrics with Pre-Modeled or Custom Data Models Governance & Modeling Explore & Present Looker Platform Architecture Security / Privacy/ Encryption Unlimited Data Experiences Validate & Track Changes to Data Model Analyze Usage & User Behavior Leverage powerful database features Write custom SQL Optimize Query Performance Secure Access to Your Data and Analytics Content Management Scheduled Reports Ad-Hoc Analysis VisualizationDashboards ... Database & Transformation Support for 50+ Unique SQL Dialects Flexible In-Database Transformation ✓ Maximize value of tech investments by augmenting your existing stack ✓ Increase agility and minimize security and regulatory risk by delivering trusted insights without ingesting data into 3rd party tools ✓ Upgrade underlying technologies as needs change by separating business logic from data engineering This lets you:
  11. 11. ©Looker2019.Confidential Modern Self- service BI Data Monetization Near Real-time Alerts at Scale Automated Data Delivery Workflow Integrations Custom Data Products Optimize Performance Database & Transformation Centralize Business Metrics with Pre-Modeled or Custom Data Models Governance & Modeling Explore & Present Looker Platform Architecture Security / Privacy/ Encryption Unlimited Data Experiences Validate & Track Changes to Data Model Analyze Usage & User Behavior Leverage powerful database features Support for 50+ Unique SQL Dialects Flexible In-Database Transformation Write custom SQL Optimize Query Performance Secure Access to Your Data and Analytics Content Management Scheduled Reports Ad-Hoc Analysis VisualizationDashboards ... APIforData SDKs,DeveloperCommunity,UIComponents ✓ Monetize data with valuable products for your customers ✓ Supply governed data at scale across IT services teams, data applications and operational workflows ✓ Streamline and automate workflows across departments and externally This lets you:
  12. 12. ©Looker2019.Confidential Optimize Performance Database & Transformation Centralize Business Metrics with Pre-Modeled or Custom Data Models Governance & Modeling Explore & Present Looker Platform Architecture Security / Privacy/ Encryption Unlimited Data Experiences Validate & Track Changes to Data Model Analyze Usage & User Behavior Leverage powerful database features Support for 50+ Unique SQL Dialects Flexible In-Database Transformation Write Custom SQL Optimize Query Performance Secure Access to Your Data and Analytics Manage Content Schedule Reports Ad-Hoc Analysis VisualizationDashboards ... APIforData SDKs,DeveloperCommunity,UIComponents Modern Self- service BI Data Monetization Near Real-time Alerts at Scale Automated Data Delivery Workflow Integrations Custom Data Products
  13. 13. ©Looker2019.ConfidentialEmbeddedAnalytics
  14. 14. Resources: https://info.looker.com/ Blog: https://looker.com/blog Upcoming Events: https://looker.com/events Request a personal demo: https://looker.com/demo Email us: hello@looker.com Thank You!
  15. 15. Trends in Enterprise Advanced Analytics Presented by: William McKnight President, McKnight Consulting Group williammcknight www.mcknightcg.com (214) 514-1444 #AdvAnalytics
  16. 16. McKnight Consulting Group Offerings Strategy Training Strategy  Trusted Advisor  Action Plans  Roadmaps  Tool Selections  Program Management Training  Classes  Workshops Implementation  Data/Data Warehousing/Business Intelligence/Analytics  Master Data Management  Governance/Quality  Big Data Implementation 3
  17. 17. Why Are Trends Important?
  18. 18. “Beyond the Mountain is another mountain.”
  19. 19. We Are in the Business of Data  Our information is exploding  Our business is real-time, all the time  Our information differentiates us from our competitors  Our information quality impacts our clients, our Associates, and our shareholders  Our information is used and reused; information usage drives data value  Information is a key business asset
  20. 20. Data Maturity is Highly Correlated to Business Success Data Maturity Business Success 7
  21. 21. Maturity Modeling • Should give a sense of priority • You Can’t Skip Levels – in any category • Maturity Levels tend to move in harmony • Midsize and smaller companies can +1 • All must be at Level 3 (some need to be at 4) this year • Momentum is paramount!
  22. 22. Raise the Foundation of Your Company Raise the Foundation of Your Company
  23. 23. The Money Tree Doesn’t Exist Hitch your Architecture and Maturity Efforts to an Application Budget 10
  24. 24. Data Professional Success Measurement User Satisfaction Business ROI and growth instigated Data Maturity (Long-term User Sat and Bus ROI) Misc.
  25. 25. Last Year’s Trends • Sensible Divisions of Analytic Platforms • Cloud Storage overtakes HDFS • Multi-Cloud Becomes the Norm • 2019: The Year of Master Data Management • Data Virtualization Provides the Enterprise Data Fabric • 2019: The Year of the Graph • Stream Processing Begins to supplant ETL • Data’s New Highest Use Will Be Training AI Algorithms • Data Visualization Footprint Escalates • Self-Service Takes Off • Chief Data Officer Goes Mainstream • Organizations Acknowledge Chief Information Architect/Chief Analytics Officer • Data Science Pioneers Lock in • Acknowledgement of the need for data deployments to be near the business unit in organization charts • Reduction in the challenges posed by internal grist and resistance to change • Analytics Skills Go Into the Operational Environment • Operational Big Data Platform Selection to see more SQL, less NoSQL • A New Dataset: Bio Data 12
  26. 26. Top Trends in Enterprise Analytics for 2020 and Beyond
  27. 27. Data Takes Steps to the Balance Sheet • The six biggest companies by market capitalization are Apple, Amazon, Alphabet, Google, Microsoft and Facebook • Rules – Internally-Created Asset – A corresponding cost for acquiring or building this asset – Depreciation Cycle – Utilized in a similar manner across companies
  28. 28. Explosion in Sensor-Based Time-Series Data • 5G and IoT Driving AI • Sensor-based Data Sources Expand • Time Series Data Explosion – Data for each point in time – The data collectively represents how a system/process/behavior changes over time – Scale and usability of time series data
  29. 29. • Natural Language Inputs • AI Voice Assistants • Google-Like • Chatboxes • Future: Brain-Computer Interfaces Business Intelligence Interfaces Upheavel
  30. 30. • Automated Data Discovery • Auto-generated pipelines based on global experiences • Joins by data ETL will be Nearly Automated
  31. 31. Leveraging Cloud Object Storage for Data Lakes • More Achievable separate compute and storage architecture • Compute resources (Map/Reduce, Hive, Spark, etc.) can be taken down, scaled up or out, or interchanged without data movement • Storage can be centralized, but compute can be distributed • Major players have mechanism to ensure consistency to achieve ACID-like compliance for remote data changes • Some vendors also have remote data replication to ensure redundancy and recovery • Most of the query execution is processing time, and not data transport, so if cloud compute and storage are in the same cloud vendor region, performance is hardly impacted 18
  32. 32. • Embedded Databases at the edge • AI baked into the chips • New applications and use cases More Edge AI
  33. 33. AI is disruptive Data is the Foundation Data’s New Highest Use Will Be Training AI Algorithms
  34. 34. • Will help reduce bias in the algorithms • Data-first application development • Reduction in Lazy AI • Transparency part of compliance regulations Explainable AI
  35. 35. • Data analytics stack goes Kubernetes for both open source and commercial • Winners go from thought to POC quickly • Serverlessness Kubernetes and Containers
  36. 36. Hybrid Databases • Hybrid transaction/analytical processing (HTAP), translytical, or hybrid operational analytic processing (HOAP) • Combination row-based for transactions and column-based for analytics • Can process both orders and machine learning models simultaneously with fast performance and reduced complexity 23
  37. 37.  There’s more maturity in moving imperfectly than in merely perfectly defining the shortcomings  Build credibility  Don’t be afraid to fail  Don’t talk yourself out of having a new beginning Have an open mind No plateaus are comfortable for long That resistance is not about making progress, it’s the journey
  38. 38. Second Thursday of Every Month, at 2:00 ET Presented by: William McKnight President, McKnight Consulting Group www.mcknightcg.com (214) 514-1444 #AdvAnalytics

×