Forrester’s View on Accelerating Analytics and Insights with Data Prep
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The first thing analysts want is access to all their data to get insights quickly. The last thing they want is to be slowed down by hard to acquire data, messy data, and governance barriers. One of the ways organizations can improve the time to analytics is with self-service data preparation tools.
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Forrester’s View on Accelerating Analytics and Insights with Data Prep
- 1. ACCELERATING ANALYTICS THROUGH DATA PREPARATION Dan Potter, CMO, Datawatch Michele Goetz, Principal Analyst, Forrester
- 3. © 2015 Forrester Research, Inc. Reproduction Prohibited 3 Business stakeholders want to be in command of their dynamic ecosystems
- 4. © 2015 Forrester Research, Inc. Reproduction Prohibited 4 Your business has lost its patience — it needs data now
- 5. © 2015 Forrester Research, Inc. Reproduction Prohibited 5 Base: 1200 and *595 global data and analytics business decision-makers Source: Business Technographics® Global Data & Analytics Survey, 2015 and 2014 Satisfaction is on the decline even as investment in analytics is on the rise. Q.A1: What is your level of satisfaction with analytics in your company? 53% 33% 14% 2014* 42% 36% 21% 2015
- 6. © 2015 Forrester Research, Inc. Reproduction Prohibited 6 14% Make Customer Insights an integral part of planning 67% 59% 56% Can’t Access Can’t Integrate Slow Updates Source: Forrester’s Q2 2014 Intelligent Enterprise Self-Assessment Scorecard Source: Forrester’s Q2 2014 Intelligent Enterprise Self-Assessment Scorecard
- 7. © 2015 Forrester Research, Inc. Reproduction Prohibited 7 IT just takes too long… 9% 11% 11% 12% 13% 25% 19% 23% 23% 23% 23% 25% 61% 53% 56% 53% 52% 43% Implementing and supporting new BI and advanced analytics technologies Sourcing new non-customer data sets & making them available for self-service analytics or data science Creating new data stores and views of structured data for reporting and interactive query Adding new data feeds for embedded BI/analytics within CRM, marketing, or loyalty solutions Sourcing new customer data sets and making them available for self-service analytics or data science Generating new data reports from existing data Within days Within weeks Within months or longer Q.A9: In general, when business users are looking for help with analytics, how quickly does IT turn around the following requests? Base: 3005 global data and analytics decision-makers. “Never” and “don’t know” not shown. Source: Business Technographics® Global Data & Analytics Survey, 2015
- 8. © 2015 Forrester Research, Inc. Reproduction Prohibited 8 Business access to data is more than just a nuisance… › Can circumvent security when they use rogue data and technology. › Consume a lot of valuable time “munging” data prior to analysis. › Make bad business decisions because of data quality issues. › Can generate data silos that produce inconsistent insights
- 9. © 2015 Forrester Research, Inc. Reproduction Prohibited 9 Strategically Surrender To Data Self- Service with Data Preparation
- 10. © 2015 Forrester Research, Inc. Reproduction Prohibited 10 Source: Brief: Data Preparation Tools Accelerate Analytics February 2015 . Data Preparation Tools Software that eases the burden of sourcing, shaping, cleansing, and sharing diverse and messy data sets to accelerate data’s usefulness for analytics
- 11. © 2015 Forrester Research, Inc. Reproduction Prohibited 11 Source: Business Technographics® Global Data & Analytics Survey, 2015 Organizations are getting ready for data self-service 67% 59% Envision business user flexibility to pull and use data Will expand or implement data preparation capabilities in next 12 months
- 12. © 2015 Forrester Research, Inc. Reproduction Prohibited Data Quality Personal Data Applications - Trusted Shared Data Internal sources – Casual Trust Available Data 3rd Party sources – Acquired Trust Opportunistic Data Potential sources – Unclear Trust In-memory DB, Data Warehouse, NoSQL, Hadoop Governance Policies and Data Certification ETL/ELT, Data Virtualization, APIs External Sources Our Data Optics Have To Change Get beyond the 12% of data you use
- 13. © 2015 Forrester Research, Inc. Reproduction Prohibited 13 Analyst: I want self-service…I know good data when I see it. › Instant self-service access to data sources › Reduce data wrangling time › Collaborate and iterate on data set preparation › Transparency into iterative data set design › Transparency into data quality conditions › Immediately visualize data with easy push to analytics
- 14. © 2015 Forrester Research, Inc. Reproduction Prohibited 14 Data Steward: I want to drive data value and promote data best practices. › Can “see” data policies for production data sets › Can measure data quality levels › Transparency into business trusted data sources › Transparency into potential new data value and policy scenarios › Low impact deployment of data policies into analyst preparation › Visibility and meaning into compliance with data policies › Data profiling and prototype environment for new data services
- 15. © 2015 Forrester Research, Inc. Reproduction Prohibited 15 Data Architect: I want to enable the business with better insight › Can “see” data requirements for production data sets › Collaborate with analysts speed up data access › Reduce/optimize resources covering ad- hoc data support › Create prototype data models and databases to “test” new capabilities › Gain visibility into data source use for security and utilization
- 16. © 2015 Forrester Research, Inc. Reproduction Prohibited 16 Source: Data Quality Marketing Overview Q2 2015 Data Preparation is a critical piece of the data quality governance program Data Preparation Self-service application to blend, standardize, cleanse, merge data Data Quality Tools Data management tool to cleanse, enrich, standardize, match, and merge data Master Data Management Data management too to define and orchestrate master data models Metadata Management Data management tool to store and maintain data dictionaries and data mappings for data integration Data Ingestion Data aggregation tools for Hadoop and NoSQL environments that transform, match, and merge data Data Stewardship Planning, collaboration, workflow and reporting environment to enable and capture data governance business processes Business Glossary Application to collect and share data descriptions and definitions Reference Data Management Define and enforce data standards and hierarchies Semantic Data Maps Intelligent graphs that evolve by data use to classify and link data
- 17. © 2015 Forrester Research, Inc. Reproduction Prohibited 17 Where data preparation sits in your architecture
- 18. © 2015 Forrester Research, Inc. Reproduction Prohibited 18 Adopts the 4 Principles of Data Prep... › It’s a data pipeline: Considering all data roles and objectives to turn data into insight › Data is personal: Enable analysts to explore and play in the data to “know it when they see it.” › Capture tribal knowledge quietly: Data wrangling activity is a window into data policies › Data prep is for all data pros: Data architects and data stewards have a tool to prototype and test data
- 19. DATAWATCH SOLUTION FOR SELF-SERVICE DATA PREPARATION Dan Potter, Chief Marketing Officer
- 20. Datawatch self-service data preparation provides better and faster decisions
- 21. Better ONLY 12% Of enterprise data is used for information and to make decisions. ‘Dark Data’ growing 800% Reports, web pages, JSON, log files… Databases, Salesforce, Hadoop, etc
- 22. Faster 80% WASTED TIME Analysts spend vast majority of time preparing data, not analyzing data. Work directly with data, no scripting Automate, reuse & deliver
- 23. • The fastest and easiest way to acquire and prepare the widest variety of data • Built upon the most powerful engine used by the world’s largest organizations for 20+ years • Runs on your laptop or server for deployments of any scale Introducing Datawatch Monarch
- 24. HealthCare Government 93 of the Fortune 100 Rely on Datawatch Financial Services Other Industries Retail 19
- 25. Demo
- 26. Question and Answer Free Monarch Personal Edition available for immediate download at www.datawatch.com
- 27. Datawatch self-service data preparation provides better and faster decisions
- 28. ACCELERATING ANALYTICS THROUGH DATA PREPARATION Dan Potter, CMO, Datawatch Michele Goetz, Principal Analyst, Forrester
- 29. Any data including multi-structured Proven scalability to thousands of users Remove risk of non-managed data & processes Intelligent UI with powerful engine DISCOVER Datawatch Managed Analytics Platform GOVERN ACQUIRE PREPARE AUTOMATE
- 30. Automation Service Visualization Engine Content Repository A P I Governance and Control Connectivity Data Preparation
- 31. Thank you forrester.com Michele Goetz, Principal Analyst @FORR_Mgoetz [email protected]