Forrester Wave LeaderEnterprise Insight Platform Q1 2019

IBM Cloud Pak for DataLet’s simplify your information architecture and put your data to work

Don’t be burdened by your data.

IBM Cloud Pak for Data is the platform to unify and simplify the collection, organization and analysis of data. Enterprises can turn data into insights through an integrated cloud-native architecture. IBM Cloud Pak for Data is extensible, easily customized to unique client data and AI landscapes through an integrated catalog of IBM, open source and third-party microservices add-ons.

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It’s becoming more challenging and complex to establish data-driven practices – and data-driven practices are necessary.

In short:

Every company must be data driven in today’s ecosystem.

In the data explosion era the globe is now creating 2.5 quintillion bytes of data every day (link).

When it comes to leveraging data though, on average roughly 70% of data produced within an enterprise goes completely unused (link).

Leading 79.4% of executives fearful of disruption by data-driven startups or companies and only 7.3% confident in their future data strategy (link).

1. A majority of enterprises have some presence of now legacy systems making it difficult to connect and utilize all data sources.

2. Industries are dealing with stronger regulatory constraints to protect data.

3. Digital transformation has forced enterprises to strategically think differently than they have in the past.

4. Highly paid data teams are spending 50-80% of their time (multiple sources) simply finding, preparing, and governing data sets before any business insights work can begin. Growth in team working silos and work complexity also contribute to inefficiency.

5. A primary reason why 97.2% of executives say they’re building or launching Big Data and AI initiatives is that within the past decade nearly three-quarters of Fortune 1,000 companies have been replaced (link). Many face threats from firms who have achieved expert levels of operating as data driven companies; rather than using data and AI to cut costs or grow their business they are reshaping entire industries.

Enterprises aren’t leveraging the data we create.

There isno AIwithout IA

Let’s start by understanding the

situation

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The Challenge

The Factors

A cohesive modern data strategy is necessary to achieve modern AI and analytics results.Our approach is based on three key take-aways: data fuels digital transformation, AI unlocks the value of data, and hybrid cloud democratizes data. These guide our over-arching strategy for achieving real business value from data and AI.

The Journey to AI

InfuseOperationalize AI with trust and transparency

AnalyzeScale insights with AI everywhere

OrganizeCreate a trusted analytics foundation

CollectMake data simple and accessible

The Future of AI is FlexibleIt all starts with a hybrid multi-cloud approach.

Keep your head above the clouds

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Our Approach

“Simplify your information architectureand put your data to work”

Find, connect to, govern, and leverage your data across multiple sources without needing to move or replicate.

Automate mundane and repeatable tasks like cleaning, matching, and creating metadata to reduce data prep time by 80%.

Leverage deployment flexibility throughout any Cloud, Hybrid Cloud or Private Cloud — environment and provider — with Red Hat OpenShift.

Eliminate working silos with a single unified experience allowing all data users to collaborate and connect to multiple analytics applications and models.

Centralize team workflow and operations management with an ecosystem of 45+ integrated services.

Enable your highly skilled and paid data teams to spend more of their time on business value generating innovations in big data and analytics.

What we mean by

How to simplify your information architecture “IA”

How to get data working for you

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Infrastructure Layer

Kubernetes Layer

Platform Interface Layer

Services Layer

On Premise

Avoid lock-in and leverage all cloud infrastructures with our multi-cloud approach.

Leverage the leading hybrid cloud, enterprise container platform for an innovative and fast deployment strategy.

5. Any Cloud

4.

With a click, access and deploy an ecosystem of 45+ analytics services and templates from IBM and third parties. More on page 8

1. Services Ecosystem

Quickly and easily query across multiple data sources without moving your data. More on page 7

2. Data Virtualization

Complete yet simple.

Speed time-to-value with a single user experience that integrates data management, data governance and analysis for greater efficiency and improved use of resources.

3. Platform Interface

High level view

Explore how we’ve constructed the Forrester Wave’s Leading enterprise insights platform.

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The Platform

Integrate your data and teams without overhauling existing infrastructure.

Read the report

Data warehouses and data marts

Relational databases No SQL

Spreadsheets and text files

Big data, Hadoop ecosystem

Data Virtualization and Caching Layer

A unified data asset catalog, lineage and provenance

Access control and security policies

Data silos tend to retain potential insights far from view. This bottleneck leaves the tedious task of searching through, moving and governing data resources to highly paid and skilled data teams. Often, such work can take 80 percent of the time dedicated to a single initiative.

Data virtualization connects data silos as if they were a single data set on your desktop. The process performs analytics queries on the servers where data lives, and then returns the results to the original application.

No data is copied, it exists only at the source.

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Remove Data Silos

Collect

Premium Add-ons, Accelerators or Existing License Trade-ups

Cloud Pak for DataBase Capabilities

à la carteLet the integrated end-to-end analytics services grow and scale with you on your journey to AI. Deployment is easy and premium add-ons have flexible licensing models. Explore the capabilities that are ready at your fingertips.

Additional licensing

Data Virtualization•Query Anything, Anywhere (virtualized data across multiple sources) •Auto-discovery of data source & metadata with built-in governance •Distributed Parallel Processing

Db2 Warehouse•In-memory optimized columnar engine •SQL, Spatial, XML, and JSON support •Scales to peta-bytes, portable and compatible with multiple DBs

Db2 AESEDb2 Advanced Enterprise Server Edition is suitable for transactional, warehouse, and mixed workloads

PostgreSQLOpen source object-relational database designed for developers

StreamsDevelop and run applications that process in-flight data with the IBM Streams add-on. IBM Streams enables continuous and fast analysis of massive volumes of moving data to help improve the speed of business insight and decision making.

Db2 Event StoreMemory-optimized database designed to rapidly ingest and analyze streamed data for event-driven applications

MongoDBA cross-platform document-oriented database program.

Analyze & Infuse on next page

OrganizeData DiscoveryIncludes services from Information Analyzer•Default Quality Rules •Quality Score •Ability to Sample Data •Create Connections •Assign Terms, Rules •Auto Term Assignment •Review, Approval Process

Data IntegrationIncludes services from DFD & Datastage•Create, Update, Delete Jobs •Create, Update, Delete Connections •Compile Jobs •Job Logs

Data CatalogIncludes services from Information Governance Catalog & Watson Knowledge Catalog•Import Business Terms (UI) •Create Policies & Rules •Import Policies & Rules (UI) •Asset Explorer •Search Assets •Graph Explorer •Comments, Ratings

Infosphere Information Regulatory AcceleratorDesigned to reduce costs and complexity by: Extracting selected key terms, available definitions, policy and controls from the regulatory taxonomy using Machine Learning, thereby reducing the manual effort involved in this process.Infosphere DataStage Edition

An ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere

Watson Knowledge Catalog ProA data catalog that is tightly integrated with an enterprise data governance platform.

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Integrated Services Menu

Analyze

Infuse

Watson Studio•Environments (Jupyter, RStudio, Zeppelin, etc.) •Scripting & Job Automation •Machine Learning Frameworks & Spark •Image & Packet Management •Model Management & Deployment •Git Version Control

Cognos DashboardIntegrates reporting, modeling, analysis, exploration, dashboards, stories, and event management so you can understand your organization's data, and make effective business decisions.

Watson API Kit•Watson Knowledge Studio •Natural Language Understanding •Speech to Text •Text to Speech

Watson AssistantBuilding conversational interfaces into any application, device or channel

Watson OpenScaleOpen platform to operate and automate AI across its lifecycle

Cognos AnalyticsBusiness intelligence and analytics solution that makes it easy to visualize, analyze and share insights about your business

Watson Discovery•Watson Knowledge Studio •Watson Explorer •Watson Discovery

Watson Studio Premium•SPSS Modeler, Data Refinery •Decision Optimization •Model Builder (AutoML) •Hadoop Services for SPSS / Notebook, SPSS SQL Pushback •WML Advanced Training (batch training, HPO, Distributed Deep Learning) •Continuous Learning Services

Ask your IBM representative about ways to get started with Cloud Pak for Data today.

EnterpriseEdition

Supported on any cloud provider

Cloud Native Edition

Cloud Pak for Data System

Supported on any cloud provider

Software + Hardware; optimized and tested hyper-converged system

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© Copyright IBM Corporation 2019

IBM CorporationNew Orchard RoadArmonk, NY 10504

Created by Carson MastersonWorldwide Cloud Pak for Data sales leadershipSeptember 26, 2019

Cloud Pak for Data