Smart Data Management for Transformation

Smart Data Management for TransformationIt’s not just for beauty, it’s a killer requirement

Dr. Thierry Bücheler

April 2021

Safe harbor statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.

2 Copyright © 2021, Oracle and/or its affiliates. All rights reserved.

Copyright © 2021, Oracle and/or its affiliates. All rights reserved.

Organizations are becoming digital, and data is their fuel


• High Agility for the new normal

• Stable (data/platform) base for change

• Cracking advanced analytics or AI

However, there are some challenges that unite industries and sectors


• Integration is hard

• Data is not used (throughout the lifecycle)

• AI remains a mystery

Businesses want to run seamless processes end-to-end on a joint digital platform


HCM ERP CXRecruit to pay Requisition to receipt Lead to invoice

Integration: Foundation for digital business

50% “integration work will account for 50% of the time and cost of building a digital platform”

Gartner - 2020

time and cost

Copyright © 2021, Oracle and/or its affiliates. All rights reserved.7

Enabling end-to-end business processRecruit-to-pay – streamlining integrations, processes, analytics


Recruit to on-board Benefits-to-payroll Time reporting-to-payroll Payroll-to-payment

Integration

#1

Analytics

Talent

Integration

#4

Analytics

Integration

#2

Analytics

HCM and Benefits

Payroll Time and Attendance

Payroll

Integration

#3

Analytics

HCM

Enabling end-to-end business processRequisition-to-receipt – streamlining integrations, processes, analytics


Requisition-to-fulfillment Invoice-to-payment Fulfillment-to-invoice Payment-to-receipt

SCM Financials

Integration

#4

Analytics

Other downstream systems

Integration

#1

Analytics

Procurement

Integration

#2

Analytics

Payment

Integration

#3

Analytics

ERP

Enabling end-to-end business processLead-to-invoice – streamlining integrations, processes, analytics


Lead-to-opportunity Opportunity-to-quote Quote-to-order Order-to-invoice

Integration

#4

Analytics

Other downstream systems

Integration

#1

Analytics

Marketing

Integration

#2

Analytics

Sales CPQ ERP

Integration

#3

Analytics

CX

AI and ML-powered to save up to 60% of development effort

• Auto mapping and transformation to connect applications faster

• Machine Learning guidance based on community usage

• Recommended mappings highlightingproven and popular best practices

Integration and Data Mapping Support


Business Effectiveness

• Shorten reporting times

• Improve timeliness of business information

• Ensure business continuity

• Empower more users and analysts with self-service analytics

Reduce TCO

• Consolidate warehouses

• Automate management

• Automate maintenance

• Reduce storage costs

Enable Innovation

• Add new data sources

• Empower data scientists and power users to predict the future with machine learning

• React faster to data by doing real-time analysis

Improve Existing Data Warehouses

Improve Security

• Encrypt data

• Control access

• Audit access


Copyright © 2020 Oracle and/or its affiliates.

Modernize without DisruptionThink about the entire lifecycle (please please please)

Ingest Transform Curate Analyze, Learn, Predict

Specialized Data Warehouse HardwareOpen Source Cloud Connections

Data Security ManagementIdentity & Access Control Governance

Data StoresData Refinery Interpretation

Data Engineering

DepartmentalData

Warehouse

Data Lake

EnterpriseData

Warehouse

Analytics

Data Science

Discovery Lab

• Open to any data, any platform• Supports all architecture patterns• Best-in-class components• Engineered to work together

• Enterprise-grade security and operations• Operates in your data center or cloud• Compelling price performance• Accessible from any tool or platform

Discover Measure, Act


Multiple Single-Purpose vs One Converged Database

Run Single-Purpose Proprietary database for each data type

and workload

Strategy B (or “O”)Strategy A

Run Converged, Open, Best of Breed database for multiple data

types and workloads



Automated

Get better results faster, with workflow automation including model build/evaluation, automated data preparation, text mining, partitioned models, and prediction explanation

Scalable

30+ high performance, parallelized in-database machine learning algorithms that require no data movement for model building and easily scale open source R models for scoring

Production-ready

Quickly deploy and update machine learning models in production databases or via SQL APIs, deploy user-defined R functions with structured and image results

Machine learning embedded in Oracle Database with support for SQL, R, and drag-n-drop UIAnalytics In Place: Oracle Machine Learning

Clustering Anomaly detection

SQL analytics

Time series

Text mining

Classification

Feature extraction

Statistical functions

Predictive queries

Association rulesAttribute importance

Regression

Oracle Data Minerfor drag-n-drop ML workflows, job scheduling, and automation

Copyright © 2020 Oracle and/or its affiliates.

FEATURE EXTRACTIONPrincipal Comp Analysis (PCA)Non-negative Matrix FactorizationSingular Value Decomposition Explicit Semantic Analysis (ESA) *

ROW IMPORTANCECUR Decomposition *

RANKINGXGBoost *

TEXT MINING SUPPORTAlgorithms support text columnsTokenization and theme extractionExplicit Semantic Analysis (ESA) *

SQL ANALYTICS *SQL WindowsSQL PatternsSQL Aggregates

TIME SERIES *Forecasting - Exponential SmoothingIncludes popular models e.g. Holt-Winters with trends, seasonality, irregularity, missing data

ATTRIBUTE IMPORTANCEMinimum Description LengthPrincipal Component Analysis * Unsupervised Pair-wise KL Div *CUR Decomposition *

ASSOCIATION RULESA priori/ market basket

STATISTICAL FUNCTIONSmin, max, median, stdev, Pearson/ Kendall/Spearman correlationOthers: t-test, F-test,, Chi-Sq, ANOVA, etc. *

CLASSIFICATIONNaïve BayesLogistic Regression (GLM)Decision TreeRandom ForestNeural NetworkSupport Vector Machine (SVM)Explicit Semantic Analysis *XGBoost *

CLUSTERINGHierarchical K-MeansExpectation Maximization (EM)Hierarchical O-Cluster *

ANOMALY DETECTIONOne-Class SVMMSET-SPRT *

REGRESSIONGeneralized Linear Model (GLM)Support Vector Machine (SVM)Neural NetworkXGBoost *

On Database EE accessible in SQL, R, and full extent of CRAN librariesOracle Machine Learning in-database Algorithms and Analytics

* Available in SQL API onlyCopyright © 2021, Oracle and/or its affiliates. All rights reserved.16

37%spend more time collecting data than analyzing it

The biggest challenge facing organizations today is how to outpace change

59%have difficulty extracting data from legacy systems

61%do not have effective capabilities to integrate financial and non-financial data


Source: 2019 AICPA

AI Apps for HCM (Human Capital Management)

Intelligently hire top talent quickly and efficiently

Intelligently develop employees for optimal

career growth

Intelligently automate routine tasks and ensure

compliance

Work Smarter

Influence Smarter

HireSmarter


AI Apps for ERP

Reduce processing costs, information latency human error and single points of

failure

Provide more resources and better insights to enable strategic initiatives and

more influence

Improve performance and increase agility across payables, receivables,

procurement, and inventory

Procure Smarter Influence SmarterWork Smarter


AI Apps for CX

Real-time personalized consumer interactions –right content, right time,

right channel

Intelligent automated support services to provide

instant and accurate responses to customer

inquiries

In-the-momentintelligence directs sales

reps to the best opportunities with

recommended actions

Sell Smarter Serve SmarterEngage Smarter


A 3-layered AI strategy

Ready-To-Go

Ready-To-Build

Ready-To-Work

AI-Powered Data, Apps, UX, and Digital Assistant

AI Platform

Smart (Autonomous) Database


Cross-industry example use cases for business pillars

Sales• Smart Talking Points

• TAM Expansion

• Account Prioritization

• Account Enrichment

• Account Data Diagnostic

• Signal Alerts

• Ideal Customer Profile Modeling

• Win Probability / Opportunity Scoring

• Next Best Action

• Deal Acceleration

• Digital Sales Assistant

• Virtual Service Assistant

• Next Best Product Recommendations

• Next Best Offer

• Intelligent Search

Financials• Expenses Chat Bot

• Intelligent Document Recognition

• Intelligent Code Combination Defaulting

• Supplier Spend Intelligence

Smart Supplier Profile

Supplier Categorization

Supplier Spend Currency Conversion

• Supplier Spend Advanced Insights

• Intelligent Payment Discounts

• Conversational EPM Bot

• Intelligent Process Automation

Close Manager Integrations

Automated Consolidations

Auto Tagging for Disclosure Management

Intelligent Narrative Generation

• Intelligent Performance Management

HR• Best Candidate

Candidate to Job Matching

Candidate Tiering

Stack Rank Applicants

Smart Candidate Re-Ranking

• Hiring Accelerator: Time-to-Fill

• Predict Employee Attrition

• Advanced HCM Controls

• Intelligent Employee Assistant

Marketing• Intelligent Switch

• Look-a-like Modeling for Advertising

• Marketing Data Identity Resolution

• Web Real-Time Intelligent Targeting

• Marketing Campaign Performance Prediction

• RFM Scoring

• Lead Enrichment in Eloqua


Our mission is to help peoplesee data in new ways, discover insights,unlock endless possibilities.

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Smart Data Management for Transformation