Datawa.re Dynamic Warehouse Automation Platform products and services accelerate the time-to-value so you can make more informed business decisions faster... and respond more quickly when the business environment changes. Datawa.re automates the design, build, and ongoing operations, accelerating the development and implementation, and retaining flexibility... all while reducing the required resources. Our table-driven approach enables better collaboration across business and information technology teams... reducing project cost and risk.

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DYNAMIC DATA AUTOMATION PLATFORM
Data Warehousing design, development and support just got a lot faster.
FALL 2015
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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DATA AUTOMATION REALITIES…
Warehousing Projects…
… rarely start with a complete understanding of the full
scope of business requirements and implications of the
necessary data.
… are frequently architected based on what the technical
resources are most comfortable completing. As a result,
every project is developed in different ways, making on-
going support difficult.
… regularly start from scratch, demanding developers
rebuild/repurpose common functions.
Datawa.re…
… enables frequent and rapid changes based on a
flexible, table-driven architecture that enables frequent
and rapid changes… without the burden of massive
regression testing.
… delivers a proven, scalable, sustainable and
extensible architecture and approach that empowers
technical resources to create near-term wins… and long-
term supportability.
… accelerates productivity with a common foundation
and methodology enabling developers to immediately
begin configuring processes, mapping data, and defining
business logic.
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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DATA AUTOMATION SOLUTIONS…
How does Datawa.re impact the business?
 Rapid Set-up
 Flexibility in Design
 Accelerated Development
 Continuity in Approach
 Consistency Across Resources
 Improved Support
 Increased Responsiveness
 Reduced Resource Requirements
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED
FASTER
CHEAPER
BETTER
DESIGN &
ARCHITECTURE
DEVELOPMENT &
DEPLOYMENT
TIME-TO-MARKET /
SUPPORTABILITY /
RESPONSIVENESS

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DATAWA.RE
Cloud Data Automation Platform
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED
INBOUND DATA
SYSTEM
APPLICATION
INTERNAL
EXTERNAL
DATAWA.RE PLATFORM
OUTBOUND DATA
AUDITING
NOTIFICATIONS
RULES
ENGINE
VIRTUAL
DATA SETS
DATA
MART
DATA
VAULT
IN-MEMORY
ANALYSIS
ENTERPRISE
REPORTING
ENTERPRISE
SYSTEMS
ETL +
MAPPING
DATA
PRE-PROCESSOR

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DATAWA.RE
Key Advantages
 Dynamic Data Platform
– Data-driven set of common stored procedures and
packages create a foundation for scalable, extensible
and supportable Data Warehouse
 Process Configuration
– Centralized configuration parameters streamline and
accelerate revisions and updates to ETL variables
across the Data Warehouse
 Dynamic Data Mapping
– Table-driven mapping consolidates the enhancement
and extension of the Data Warehouse while
maintaining a stable, reliable environment
 Rules Engine
– Unified repository of business logic supports a highly
discoverable and supportable foundation for storing
and executing processes
 Auditing
– Detailed logging across the Data Warehouse
facilitates atomic-level insight into the current status,
and actions performed on, each data element.
 Notifications
– Consolidated message and attachment definitions
alert and inform users of planned and unplanned
events occurring in the Data Warehouse
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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INBOUND DATA
Capture and Organize Internal and/or External Data Sources
 Data Pre-Processor
– Standardize incoming data to extract new, changed, or
deleted records, and/or apply validation rules prior to
ETL + Mapping process
 Internal Sources & External Sources
– Access inbound data in various locations from various
systems in various formats, from raw data to extracts to APIs
– Internal or External operational or transactional systems
that contain or generate data
– Proprietary systems or Industry-standard business systems
– Datawa.re provides an unmatched platform for accessing external data
 ETL + Mapping
– Table-driven approach to common staging based on inbound file mapping,
leveraging a single SSIS package
– Table-driven ETL processing configuration (variables)
– Data Vault used for staging data
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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DATA VAULT
Staging area with multi-thread, parallel raw data storage
 Data Mapping
– Configuration Parameters Define Field-to-Field Data Change
– Single location for data additions, enhancements, and modifications
– Configuration parameters specify frequency of data export to DataVault
 Data Vault: Hub, Satellite, Link
– Flexible methodology for storing unaltered raw
data in the data warehouse
 Auditing
– All actions within Datawa.re are audited and logged at the atomic level at each step from
Pre-Processing to Rule Engine to Loading and Publishing Dim/Facts
– Collects all attributes of raw data movement between Raw Source and the DataVault
 Notifications
– Dynamic email alerts are based on templates which can contain table-defined variables
to custom recipients and content, including distribution lists, data attributes, auditing results,
and more.
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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DATA MART
Integrated, dimensional data model
 Rules Engine
– Common, table-driven storage for all business logic
(transformations / validations)
– The Rules Engine applies logic to Pre-Processor
and/or Data Mart (dim/fact creation)
 Data Mapping
– Table-driven approach defines how data is loaded into
dimensions from the DataVault (based on the data model)
– Defines Dimension and Fact table changes
– Configuration parameters specify frequency of data export to DataMart
 Dimensional Data Model
– Requires that logical dimensional data model is designed
by a data architect
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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OUTBOUND DATA
Presentation of final data elements
 Presentation / Data Distribution
– In-Memory Analysis Platforms
– Enterprise Report Platforms
– Data Distribution to an Outbound Destination
or Enterprise Systems
 Universal data reporting
– Report from any of the data elements within Datawa.re
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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Stay in the Cloud, or move to Private Cloud or On-Premise
GET STARTED IN THE CLOUD
DATAWA.RE CLOUD PRIVATE CLOUD / ON-PREMISE
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

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LET’S GO!
Fixed-Price, 30-day Operational Prototype
Review corporate non-
disclosure agreements,
determine key business
need, and begin
identifying key data
sources and metrics.
Business
Requirements
With clear requirements,
Datawa.re will focus on
integrating two key data
sources, developing the
supporting data
transformations and data
model.
Prototype
Development
You and a senior
Datawa.re analyst will
review the data model,
collectively validate
numbers and discuss the
presentation of the data
within your reporting
platform for guidance and
feedback.
Prototype
Validation + Review
WEEK
2+3
DAY
30
DAY
1
DAY
10
With ready-to-use operational data mart, you
can elect to continue with the Datawa.re
Team to integrate additional data sources...
Or, license the Datawa.re Platform and
continue forward with internal resources.
Project Green Light!
INTRODUCTION
DATA PLATFORM
KEY ADVANTAGES
INBOUND DATA
DATA VAULT
DATA MART
OUTBOUND DATA
3-STEP PROCESS
GET STARTED

12. For more information or to schedule a demo, visit www.datawa.re,
call 1.844.313.5200, or contact getstarted@datawa.re.