Run your Business faster - AnalyticsCreator · 2019. 12. 5. · Data Lake Store Azure SQL DW o....

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Run your Business

faster

reinvent the Data thinking

< Data Automation and full BI-Stack Automation >

Data Warehouse “Slot Machine”

▪ DWH limited to ETL Tools▪ Project cycles are long▪ Adaptions are time-consuming, expensive

and usually require DWH Experts▪ Project failure rate is high▪ Standardisation difficult▪ Lifecycle is limeted

The solution - AnalyticsCreator

▪ Data automation for analytical applications, withoutExperts!

▪ Orchestrates the life cycle of data warehouses, datamarts (design, develop, change, deploy)

▪ Disrupt conventional ETL tool-approach (Extract, Transform, Load)

AnalyticsCreator – die Lösung

▪ New construction and modernizationDWHs and entire BI-stack

▪ Reengineering approaches for DWH migration

▪ Full BI-stack generation▪ Easy to use – 25 minutes to create an

analytical application▪ Modern DWH standards

▪ Independence from BI Frontend paradigms

▪ AC is a pure designtime tool

5-step approach

15

4

3

2

DEPLOYGENERATE CODE AND

STRUCTURE

ANALYZE & SUGGESTINTELLIGENT WIZARD

DECLARESEMANTIK OF DATA

CONNECTTO DATA

MODELOPTIMIZE MODEL

Value Propositon

▪ Customer reaches up to 10 times faster results▪ Significant time and cost savings

▪ Minimizing project risks▪ Automated GDPR and compliance▪ Data Warehouse/Lake Modernization

▪ Independent from external/internal Consultants▪ Independent from technology considerations

© Microsoft Corporation

Data processing with Azure SQL Data Warehouse / SQL DB

Modern Data Warehouse Pattern ELT

Orchestration

Load flat files

into data lake

on a schedule

Ingest storage

Data processing

& Serving storage

Load raw data

transform data in the

database

Logs, files, and media

(unstructured) Azure Storage/

Data Lake Store

Azure SQL DW o.Azure SQL DB

Applications

Azure Data

Factory

Business and custom

apps (structured)

Extract

relational data

Orchestration

Azure Data

Factory

Azure SQL DB

SQL

Azure Analysis Services

Power BI

Power BI

Services

Load raw data

transform data in the

database

Sources Storage Layer Core Layer Datamart Layer In Memory/OLAP L. Presentation Layer

Persistent Staging & historizisedStorage

Data Vault 1.0, 2.0KimballHybrid

TransformationsCleansingAggregationConsolidationValidation

SubjectorientedProcessorientedFront roomInterface

Sourceanalysisengine

SQL generator SSIS generator

predefined source meta-connectors Metadata repository templates

Tableau

QlikView

SAP BO

IBM COGNOS

Sharepoint

Excel

SRS

ERP SAP

CRM

MS SQL ServerORACLEOLE DB

flat files

SOACloud

Data Mart Wizard OLAP generator PowerBI generator

ETL

STAR SCHEMA

Analysis CubesTabular Cubes

ETLETL

logical/persistent logical

ETL

ETL

logical/persistent

Data Warehouse – On Azure SQL Database

AnalyticsCreatorCloud Generator

AnalyticsCreator Designeron Windows Client

DWH Meta Data

DAC PACdeployment

Data Warehouse - On PremiseMS SQL Server

ERP, direct connection

CSV, Excel, BLOB Store

CRM, ..

Any Frontend

SAP mit Theobald Connector

Source Meta Data

Data

Data

… any data sources

Typical runtime architecture(many different architectures possible)

AnalyticsCreator design-time tool

Benefits for Management

▪ Minimizing project risks▪ Significant time and cost savings▪ Low TCO▪ GDPR and compliance▪ Ensures knowledge▪ Automatic documentation▪ Previous DWH investments can continue to

be used▪ Independence from any BI tools

Benefits for development and users

▪ Reduce the complexity of BI and DWH applications▪ Quality improvement▪ Easy to use – quick results▪ Reuseablity / Templates▪ Use existing DWH layers and BI applications▪ Modern architecture/ approaches (DV 2.0)▪ Easy transition to future technology approaches▪ Standardization▪ Transparency▪ Data Linage

Benefits for Software vendors

▪ Create/deploy industry sector or themetemplates

▪ Create/deploy metadata connectors▪ Templates are running without AC▪ Increase profitabilty of your managed

services offering and more▪ Clients which pretend all-in projects

▪ Much more exactly project calculation▪ Higher margin

More uses cases▪ Clear decision for new DWH unlike a adaption▪ Modernization DWH▪ Projects that were not carried out because of

cost reasons, suddenly become feasible▪ Data Vault 2.0 Migration ▪ Regulation - GDPR /DSGVO, ..▪ AZURE /Cloud DWH

Generated

Code

Framework

Revolution

Product

User-

driven

DWH

Idea of

generating

DWH

2010

2012

20172008

AnalyticsCreator

Company Launch

Teams history with DWA

15

Customer Success

Subscription Pakete

Get Started

FREE ACCOUNT

Contact Us

Send us a message

& connect:

Munich

peter.smoly@analyticscreator.com

Europe: +49 89 215422-41

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