SlideShare a Scribd company logo
Introduction
Sampo Yli-Olli
02/09/2016 www.bilot.fi 2
Master data management, why?
Turning data into information to support
business and decision making
Accurate data is a valuable enterprize asset
that requires disciplined governance and
maintenance to leverage its full value
Master Data is a crucial key component at the
heart of every business process.
The amount of data increasing rapidly
Enterprise Master Data stored in disparate
systems
02/09/2016 www.bilot.fi 3
Typical goals and obstacles
Aim: high
quality of
data

Up-to-date and
correct information
 Validity for the
purpose
 Avoiding incomplete
data records
 Consistent data formatting
(e.g. date, phone number)
Architectural obstacles
Isolated systems handling
master data
Inconsistent master data
models in different systems
Lack of shared understanding of
the importance of data governance
No company-wide organizing for
master data management
Lack of unified tools for data
governance
Governance obstacles
02/09/2016 www.bilot.fi 4
SmartMDM and Microsoft MDS – together more
02/09/2016 www.bilot.fi 5
360° view to
master data
Collaborative
processes
Business
rules
Master Data Services
Accelerate data governanceConsolidate data architecture
Excel Add-inWeb UI
Tools for data stewards
Bilot SmartMDMTM
for
DISTRIBUTED
master data
management
SOCIAL
for the sake of
productivity
ANY
BACKEND
system
USABILITY
drives end-user
acceptation
RESPONSIVE
to support all
your devices
CONFIGURE
instead of coding
WORKFLOWS
make end-users follow
agreed processes
ANALYZE
process performance
and trace bottlenecks
CLOUD OR
ON-PREM?
you decide
SmartMDM™ boosts productivity, data governance and data quality by
providing users with intelligent, easy to use workflow-backed forms
tailored to customer’s processes and roles making master data
management a natural part of the business process.
Fully revamped
User Experience
Basic dashboard
to accelerate
start of use
MDS as natively
supported backend
New in SmartMDM 2.3
SmartMDM use purposes in
practice
Matti Järventausta
02/09/2016 www.bilot.fi 7
Our customers use SmartMDM for
02/09/2016 www.bilot.fi 8
• Product specification process (inlc. dimension calculations, extra characteristis,
EAN code generations etc. )
• Business partner validation process (credit limit check, contact information etc.)
• Functional location and project setup process (collect service operation,
customer and business data, collect and validate custom properties )
Control
• Simplify complex operations ( managing SAP partner functions
for customers, classifications for product groups etc.)
• Manage data in multiple systems using one interface
(group SAP – company SAPs)
• Templates and references
Ease
• Integrate external data banks (industry specific product data, address data etc.)
into master data
• Do additional actions (product pricing, content for web shop publication)
• Use external services (APIs, like location)
Enrich
• Collect data from the process for audit trail or bottle neck analysis
• Extend the number of users by giving them easy to use toolsBoost
Material
Customer
Vendor
EmployeeCost
center
Project
Product
Account
Microsoft vision for a new era
United platform for the modern service provider
CUSTOMER
DATACENTER
SERVICE
PROVIDER
MICROSOFT
AZURE
CONSISTENT
PLATFORM
Enterprise-grade
Global reach, scale, and security to meet
business demands
Hybrid cloud
Consistent platform across multiple
environments and clouds
People-focused
Expands technical skill sets to the cloud for
new innovation
[1] *Gartner “Magic Quadrant for Operational Database Management Systems,” by Donald Feinberg , Merv Adrian , Nick Heudecker, Adam Ronthal, October 2015
[2] *Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Josh Parenteau, Rita L. Sallam, Cindi Howson, Joao Tapadinhas, Kurt Schlegel, Thomas W. Oestreich, February 4, 2016
[3] *Gartner “Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics,” by Roxane Edjlali and Mark Beyer, February 25, 2016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all
warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Magic Quadrant for Data Warehouse
Database Management Solutions3
A leader for the fifth consecutive year
Magic Quadrant for Business
Intelligence and Analytics Platforms2
Furthest in vision; leader 9 years running
Magic Quadrant for Operational
Database Management Systems1
Furthest in vision and ability to execute
Microsoft is a leader for…
SQL Server 2016: Everything is built-in
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its
research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all
warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Consistent experience from on-premises to cloud
In-memory across all workloads
built-inbuilt-in built-in built-in built-in
TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
At massive scale
0 1
4
0 0
3
34
29
22
15
5
22
6
43
20
69
18
49
3
0
10
20
30
40
50
60
70
80
2010 2011 2012 2013 2014 2015
SQL Server Oracle MySQL SAP HANA TPC-H non-clustered 10TB
Oracle
is #5#2
SQL Server
#1
SQL Server
#3
SQL Server
National Institute of Standards and Technology Comprehensive Vulnerability Database update 2/2016
Microsoft Tableau Oracle
$120
$480
$2,230
Self-service BI per user
Costs reflect EA pricing.
SQL Server
2008
SQL Server
2008 R2
SQL Server
2000XML ● KPIs
Compression ● Policy-Based Mgmt ● Programmability
PowerPivot ● SharePoint Integration ● Master Data Services
SQL Server
2012
AlwaysOn ● ColumnStore Index ● Data Quality Services ● Power View ● Cloud Connectivity
SQL Server
2014
In-Memory Across Workloads ● Performance & Scale ● Hybrid Cloud Optimized ● HDInsight ● Cloud BI
Management Studio ● Mirroring
SQL Server
2005
SQL Server
2016
Enhanced Always On ● In-Memory OLTP ● Stretch DB ● Temporal Tables ● Enhanced Backup to Cloud ● Polybase ● Real-Time
Operational Analytics ● Row-Level Security ● Query Store ● R Services● Always Encrypted ● Mobile BI
The evolution of Microsoft SQL Server
“Master data is one of the most important types of information in an
organization, and the discipline of MDM is needed to ensure the consistency
of this data across the organization, and when managing relationships with
external constituents (customers, partners, suppliers, etc.). Mastering this data
is critical to maintaining process integrity, which is required for organizations to
maximize their chances of meeting their desired business outcomes.”
Gartner, 2011
Challenges
Modeling
business rules
security
Excel
Data Quality Services
integration
18
Performance and Scale Modeling and Management Security and Admin
Excel add-in
4-8x perf increase for SQL Server 2012 and SQL
Server 2014. Up to 15x faster data loading in SQL
2016.
Entity based staging
Loading data into MDS is now 15-200% faster than
SQL Server 2014.
Model deployment
Faster deployment, and removed size limitations
when deploying models with data.
Custom indexes
Create non-clustered indexes on one or more
attributes to improve query performance.
Transaction log retention
Configurable settings for retaining the MDS transaction
history table to enable automatic truncation.
Entity sync relationship
Share entities and data between models.
Many to many relationships
Create derived hierarchies that support many-to-many
relationships.
Attribute filters
Filter domain based attribute values based on another
attribute.
Business rule extensions
Apply user defined SQL scripts as business rule
conditions and actions.
Explorer and Excel Integration
Ability to open entity view in Excel add-in from Web
Explorer.
Granular security permissions
Allows permissions to be set around read, write, create,
and delete.
Multiple administrator roles
Support for Super User and Model Admin roles allows for
multiple system administrators, and model level admins.
Smarter caching of permissions
Reduces the overhead of adding member and attribute
level security settings.
Member revision history
Track change history of members (type 2) through
specialized subscription view.
Change sets and approval
Use change sets to save pending changes.
Analytical MDM
Operational MDM
Data Solutions
Provides storage and
management of the
objects and metadata used
as the application
knowledge
• Object mappings
• Reference Data /
managed object lists
• Metadata management
/ data dictionary
Data Warehouse /
Data Marts Mgmt
Operational Data
Management
Enable business users to
manage the dimensions
and hierarchies of DW /
Data Marts
• BI scenarios
Central data records mgmt
and consumption sourced
by other operational
systems
A company has adopted 6 “best
of breed” systems from
different vendors. They need to
be able to propagate the
correct customer information to
each system in a consistent
way.
MDS provides a platform for
central schema, integration
points and validation.
Sequence of Events
Metadata
Data
Metadata, Data &
Administration
VENDOR DEMO
Terho Antila, Sampo Yli-Olli
02/09/2016 www.bilot.fi 27
Scenario: update vendor contacts
Demand
• Marketing manager Joe
receives updated contact
information for Sharp Bikes
• The contact information needs
to be updated in MDS
Steps to accomplish
1. Check whether there are
ongoing requests for the
vendor
2. Create a new request to
modify vendor data
3. Choose to modify global data
to enable contact data edition
4. Maintain contact data and
process the request
02/09/2016 www.bilot.fi 28
Demo highlights
02/09/2016 www.bilot.fi 29
Integrated Wiki
• Knowledge sharing from users to users
Request level commenting
• Possibility for participants to discuss the request
Field comments
• Highlighting problematic fields
• Provide reasoning and audit data
Collaborative filling
• Multiple users can work on the same request simultaneously
Locking
• Prevents two users from editing the same field
• Manual locking can be used by editor to ”reserve” a section for himself
Scenario: add status classification for
vendor data
Demand
• Purchasing organization wants
to easily see vendor status.
Status is not currently part of
Vendor master data in MDS
• Status is either New, Active,
Blocked or Discontinued
• The status selection should be
positioned under Basic
information section on the
vendor modification form
Steps to accomplish
1. Add data to MDS via Excel
Add-In
2. Add the new attribute on the
form as a select field by using
MDS Wizard
3. Validate that the field is visible
on the form and can be edited
along with other global data
02/09/2016 www.bilot.fi 30
Demo highlights
Editing form and workflow
is really easy
Business rules can be
used to control whether a
field is mandatory, visible
and/or editable
MDS Wizard makes it
really easy to fill a form
section with fields fetched
from MDS
Less development, more
control!
02/09/2016 www.bilot.fi 31
Next breakfast event:
13.10.2016 8:30 - 11:00
INTEGROI OIKEIN MICROSOFT BIZTALKILLA
JA AZURELLA
Rekisteröidy nyt mukaan: www.bilot.fi  Events
Tule kuulemaan, miten moderni pilvikyvykäs integraatio- ja
palveluarkkitehtuurimaailma rakentuu oikein, ja miten pääset liikkeelle?
02/09/2016 www.bilot.fi 32
02/09/2016 www.bilot.fi 33

More Related Content

What's hot

A Review on Salesforce Integration
A Review on Salesforce IntegrationA Review on Salesforce Integration
A Review on Salesforce Integration
ijtsrd
 
Free Accounting Software UK
Free Accounting Software UKFree Accounting Software UK
Free Accounting Software UK
Arcus Universe Ltd
 
SAP ABAP support by bob panic www.rockstarconsultinggroup.com
SAP ABAP support by bob panic www.rockstarconsultinggroup.comSAP ABAP support by bob panic www.rockstarconsultinggroup.com
SAP ABAP support by bob panic www.rockstarconsultinggroup.com
bob panic
 
Oracle ERP Cloud implementation tips
Oracle ERP Cloud implementation tipsOracle ERP Cloud implementation tips
Oracle ERP Cloud implementation tips
Prabal Saha
 
Overview of different types of erp systems, architecture, and modules
Overview of different types of erp systems, architecture, and modulesOverview of different types of erp systems, architecture, and modules
Overview of different types of erp systems, architecture, and modules
Deepa Manoj
 
Erp vendors
Erp vendorsErp vendors
Salesforce – The Future of CRM
Salesforce – The Future of CRMSalesforce – The Future of CRM
Salesforce – The Future of CRM
ijtsrd
 
Cloud ERP vs. On-Premise ERP: Dissecting the Controversy
Cloud ERP vs. On-Premise ERP: Dissecting the ControversyCloud ERP vs. On-Premise ERP: Dissecting the Controversy
Cloud ERP vs. On-Premise ERP: Dissecting the Controversy
IES
 
Assessing Component based ERP Architecture for Developing Organizations
Assessing Component based ERP Architecture for Developing OrganizationsAssessing Component based ERP Architecture for Developing Organizations
Assessing Component based ERP Architecture for Developing Organizations
IJCSIS Research Publications
 
SAP Integration White Paper
SAP Integration White PaperSAP Integration White Paper
SAP Integration White PaperSaleem Rauf
 
Enterprise Resource Planning
Enterprise Resource PlanningEnterprise Resource Planning
Enterprise Resource PlanningRam Dutt Shukla
 
Introduction to ERP (Enterprise Resource Planning)
Introduction to ERP (Enterprise Resource Planning)Introduction to ERP (Enterprise Resource Planning)
Introduction to erp system
Introduction to erp systemIntroduction to erp system
Introduction to erp system
shalomjudit3
 
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
Jose Esteves
 
Introduction to Integration Technologies
Introduction to Integration TechnologiesIntroduction to Integration Technologies
Introduction to Integration Technologies
BizTalk360
 
ERP And Enterprise Architecture
ERP And Enterprise ArchitectureERP And Enterprise Architecture
ERP And Enterprise Architecture
University of Engineering and Technology Taxila
 
Is ERP on Cloud the next step for your business? | Cloud ERP Benefits
Is ERP on Cloud the next step for your business? | Cloud ERP BenefitsIs ERP on Cloud the next step for your business? | Cloud ERP Benefits
Is ERP on Cloud the next step for your business? | Cloud ERP Benefits
VIENNA Advantage
 

What's hot (20)

A Review on Salesforce Integration
A Review on Salesforce IntegrationA Review on Salesforce Integration
A Review on Salesforce Integration
 
Free Accounting Software UK
Free Accounting Software UKFree Accounting Software UK
Free Accounting Software UK
 
SAP ABAP support by bob panic www.rockstarconsultinggroup.com
SAP ABAP support by bob panic www.rockstarconsultinggroup.comSAP ABAP support by bob panic www.rockstarconsultinggroup.com
SAP ABAP support by bob panic www.rockstarconsultinggroup.com
 
Oracle ERP Cloud implementation tips
Oracle ERP Cloud implementation tipsOracle ERP Cloud implementation tips
Oracle ERP Cloud implementation tips
 
Overview of different types of erp systems, architecture, and modules
Overview of different types of erp systems, architecture, and modulesOverview of different types of erp systems, architecture, and modules
Overview of different types of erp systems, architecture, and modules
 
Erp vendors
Erp vendorsErp vendors
Erp vendors
 
Salesforce – The Future of CRM
Salesforce – The Future of CRMSalesforce – The Future of CRM
Salesforce – The Future of CRM
 
Cloud ERP vs. On-Premise ERP: Dissecting the Controversy
Cloud ERP vs. On-Premise ERP: Dissecting the ControversyCloud ERP vs. On-Premise ERP: Dissecting the Controversy
Cloud ERP vs. On-Premise ERP: Dissecting the Controversy
 
Siraj_DBA
Siraj_DBASiraj_DBA
Siraj_DBA
 
Siraj_DBA
Siraj_DBASiraj_DBA
Siraj_DBA
 
Assessing Component based ERP Architecture for Developing Organizations
Assessing Component based ERP Architecture for Developing OrganizationsAssessing Component based ERP Architecture for Developing Organizations
Assessing Component based ERP Architecture for Developing Organizations
 
SAP Integration White Paper
SAP Integration White PaperSAP Integration White Paper
SAP Integration White Paper
 
Enterprise Resource Planning
Enterprise Resource PlanningEnterprise Resource Planning
Enterprise Resource Planning
 
Introduction to ERP (Enterprise Resource Planning)
Introduction to ERP (Enterprise Resource Planning)Introduction to ERP (Enterprise Resource Planning)
Introduction to ERP (Enterprise Resource Planning)
 
Resume Pallavi Mishra as of 2017 Feb
Resume Pallavi Mishra as of 2017 FebResume Pallavi Mishra as of 2017 Feb
Resume Pallavi Mishra as of 2017 Feb
 
Introduction to erp system
Introduction to erp systemIntroduction to erp system
Introduction to erp system
 
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
Overcoming Knowledge Integration Barriers in ERP implementation Using Action ...
 
Introduction to Integration Technologies
Introduction to Integration TechnologiesIntroduction to Integration Technologies
Introduction to Integration Technologies
 
ERP And Enterprise Architecture
ERP And Enterprise ArchitectureERP And Enterprise Architecture
ERP And Enterprise Architecture
 
Is ERP on Cloud the next step for your business? | Cloud ERP Benefits
Is ERP on Cloud the next step for your business? | Cloud ERP BenefitsIs ERP on Cloud the next step for your business? | Cloud ERP Benefits
Is ERP on Cloud the next step for your business? | Cloud ERP Benefits
 

Similar to Pysyvästi laadukasta masterdataa SmartMDM:n avulla

AnalytiX DS - Master Deck
AnalytiX DS - Master DeckAnalytiX DS - Master Deck
AnalytiX DS - Master Deck
AnalytiX DS
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing septMark Kromer
 
Copy of Alok_Singh_CV
Copy of Alok_Singh_CVCopy of Alok_Singh_CV
Copy of Alok_Singh_CVAlok Singh
 
What's new in SQL Server 2016
What's new in SQL Server 2016What's new in SQL Server 2016
What's new in SQL Server 2016
Onomi
 
Aen004 Thorpe 091807
Aen004 Thorpe 091807Aen004 Thorpe 091807
Aen004 Thorpe 091807
Dreamforce07
 
Bi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkBi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkSlava Kokaev
 
Corporate-training-for-msbi-course-in-mumbai
Corporate-training-for-msbi-course-in-mumbaiCorporate-training-for-msbi-course-in-mumbai
Corporate-training-for-msbi-course-in-mumbai
Unmesh Baile
 
Analyti x mapping manager product overview presentation
Analyti x mapping manager product overview presentationAnalyti x mapping manager product overview presentation
Analyti x mapping manager product overview presentationAnalytixDataServices
 
Info sphere overview
Info sphere overviewInfo sphere overview
Info sphere overview
Bhawani N Prasad
 
Rev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRyan Andhavarapu
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Denodo
 
BI Reporting Application Comparison
BI Reporting Application ComparisonBI Reporting Application Comparison
BI Reporting Application Comparison
Scott Mitchell
 
SQL Server 2016 - Always On.pptx
SQL Server 2016 - Always On.pptxSQL Server 2016 - Always On.pptx
SQL Server 2016 - Always On.pptx
QuyVo27
 
Unified Enterprise Data Mapping, Governance & Automation Platform
Unified Enterprise Data Mapping, Governance & Automation PlatformUnified Enterprise Data Mapping, Governance & Automation Platform
Unified Enterprise Data Mapping, Governance & Automation Platform
AnalytiX DS
 
Improve Master Data Quality with Excel and SharePoint
Improve Master Data Quality with Excel and SharePointImprove Master Data Quality with Excel and SharePoint
Improve Master Data Quality with Excel and SharePoint
Kristian Kalsing
 
Msbi power bi_ lead
Msbi power bi_ leadMsbi power bi_ lead
Msbi power bi_ lead
Kota Sudhake
 
SG Data Mgt - Findings and Recommendations.pptx
SG Data Mgt - Findings and Recommendations.pptxSG Data Mgt - Findings and Recommendations.pptx
SG Data Mgt - Findings and Recommendations.pptx
ssuser57f752
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
DATAVERSITY
 

Similar to Pysyvästi laadukasta masterdataa SmartMDM:n avulla (20)

AnalytiX DS - Master Deck
AnalytiX DS - Master DeckAnalytiX DS - Master Deck
AnalytiX DS - Master Deck
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing sept
 
Copy of Alok_Singh_CV
Copy of Alok_Singh_CVCopy of Alok_Singh_CV
Copy of Alok_Singh_CV
 
What's new in SQL Server 2016
What's new in SQL Server 2016What's new in SQL Server 2016
What's new in SQL Server 2016
 
Aen004 Thorpe 091807
Aen004 Thorpe 091807Aen004 Thorpe 091807
Aen004 Thorpe 091807
 
Bi Architecture And Conceptual Framework
Bi Architecture And Conceptual FrameworkBi Architecture And Conceptual Framework
Bi Architecture And Conceptual Framework
 
Corporate-training-for-msbi-course-in-mumbai
Corporate-training-for-msbi-course-in-mumbaiCorporate-training-for-msbi-course-in-mumbai
Corporate-training-for-msbi-course-in-mumbai
 
Analyti x mapping manager product overview presentation
Analyti x mapping manager product overview presentationAnalyti x mapping manager product overview presentation
Analyti x mapping manager product overview presentation
 
Info sphere overview
Info sphere overviewInfo sphere overview
Info sphere overview
 
Rev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRev_3 Components of a Data Warehouse
Rev_3 Components of a Data Warehouse
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
 
Abdul ETL Resume
Abdul ETL ResumeAbdul ETL Resume
Abdul ETL Resume
 
BI Reporting Application Comparison
BI Reporting Application ComparisonBI Reporting Application Comparison
BI Reporting Application Comparison
 
SQL Server 2016 - Always On.pptx
SQL Server 2016 - Always On.pptxSQL Server 2016 - Always On.pptx
SQL Server 2016 - Always On.pptx
 
Simha_MSTR & BO
Simha_MSTR & BOSimha_MSTR & BO
Simha_MSTR & BO
 
Unified Enterprise Data Mapping, Governance & Automation Platform
Unified Enterprise Data Mapping, Governance & Automation PlatformUnified Enterprise Data Mapping, Governance & Automation Platform
Unified Enterprise Data Mapping, Governance & Automation Platform
 
Improve Master Data Quality with Excel and SharePoint
Improve Master Data Quality with Excel and SharePointImprove Master Data Quality with Excel and SharePoint
Improve Master Data Quality with Excel and SharePoint
 
Msbi power bi_ lead
Msbi power bi_ leadMsbi power bi_ lead
Msbi power bi_ lead
 
SG Data Mgt - Findings and Recommendations.pptx
SG Data Mgt - Findings and Recommendations.pptxSG Data Mgt - Findings and Recommendations.pptx
SG Data Mgt - Findings and Recommendations.pptx
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 

More from Bilot

Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot
 
Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018
Bilot
 
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Bilot
 
Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?
Bilot
 
Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017
Bilot
 
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseenOsoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
Bilot
 
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, AltiaIT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
Bilot
 
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, PolandDigitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
Bilot
 
Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017
Bilot
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
Bilot
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
Bilot
 
Data Driven Organization
Data Driven OrganizationData Driven Organization
Data Driven Organization
Bilot
 
Scribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynoteScribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynote
Bilot
 
Digitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminenDigitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminen
Bilot
 
Integroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja AzurellaIntegroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja Azurella
Bilot
 
Bilot 3mode
Bilot 3modeBilot 3mode
Bilot 3mode
Bilot
 
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANAYour 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Bilot
 
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot
 
Powering the Future of Data  
Powering the Future of Data	   Powering the Future of Data	   
Powering the Future of Data  
Bilot
 
Hadoop and Modern Data Architecture
Hadoop and Modern Data Architecture Hadoop and Modern Data Architecture
Hadoop and Modern Data Architecture
Bilot
 

More from Bilot (20)

Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018
 
Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018
 
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
 
Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?
 
Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017
 
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseenOsoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
 
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, AltiaIT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
 
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, PolandDigitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
 
Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
 
Data Driven Organization
Data Driven OrganizationData Driven Organization
Data Driven Organization
 
Scribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynoteScribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynote
 
Digitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminenDigitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminen
 
Integroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja AzurellaIntegroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja Azurella
 
Bilot 3mode
Bilot 3modeBilot 3mode
Bilot 3mode
 
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANAYour 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
 
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
 
Powering the Future of Data  
Powering the Future of Data	   Powering the Future of Data	   
Powering the Future of Data  
 
Hadoop and Modern Data Architecture
Hadoop and Modern Data Architecture Hadoop and Modern Data Architecture
Hadoop and Modern Data Architecture
 

Recently uploaded

Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 

Recently uploaded (20)

Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 

Pysyvästi laadukasta masterdataa SmartMDM:n avulla

  • 1.
  • 3. Master data management, why? Turning data into information to support business and decision making Accurate data is a valuable enterprize asset that requires disciplined governance and maintenance to leverage its full value Master Data is a crucial key component at the heart of every business process. The amount of data increasing rapidly Enterprise Master Data stored in disparate systems 02/09/2016 www.bilot.fi 3
  • 4. Typical goals and obstacles Aim: high quality of data  Up-to-date and correct information  Validity for the purpose  Avoiding incomplete data records  Consistent data formatting (e.g. date, phone number) Architectural obstacles Isolated systems handling master data Inconsistent master data models in different systems Lack of shared understanding of the importance of data governance No company-wide organizing for master data management Lack of unified tools for data governance Governance obstacles 02/09/2016 www.bilot.fi 4
  • 5. SmartMDM and Microsoft MDS – together more 02/09/2016 www.bilot.fi 5 360° view to master data Collaborative processes Business rules Master Data Services Accelerate data governanceConsolidate data architecture Excel Add-inWeb UI Tools for data stewards
  • 6. Bilot SmartMDMTM for DISTRIBUTED master data management SOCIAL for the sake of productivity ANY BACKEND system USABILITY drives end-user acceptation RESPONSIVE to support all your devices CONFIGURE instead of coding WORKFLOWS make end-users follow agreed processes ANALYZE process performance and trace bottlenecks CLOUD OR ON-PREM? you decide SmartMDM™ boosts productivity, data governance and data quality by providing users with intelligent, easy to use workflow-backed forms tailored to customer’s processes and roles making master data management a natural part of the business process. Fully revamped User Experience Basic dashboard to accelerate start of use MDS as natively supported backend New in SmartMDM 2.3
  • 7. SmartMDM use purposes in practice Matti Järventausta 02/09/2016 www.bilot.fi 7
  • 8. Our customers use SmartMDM for 02/09/2016 www.bilot.fi 8 • Product specification process (inlc. dimension calculations, extra characteristis, EAN code generations etc. ) • Business partner validation process (credit limit check, contact information etc.) • Functional location and project setup process (collect service operation, customer and business data, collect and validate custom properties ) Control • Simplify complex operations ( managing SAP partner functions for customers, classifications for product groups etc.) • Manage data in multiple systems using one interface (group SAP – company SAPs) • Templates and references Ease • Integrate external data banks (industry specific product data, address data etc.) into master data • Do additional actions (product pricing, content for web shop publication) • Use external services (APIs, like location) Enrich • Collect data from the process for audit trail or bottle neck analysis • Extend the number of users by giving them easy to use toolsBoost Material Customer Vendor EmployeeCost center Project Product Account
  • 9.
  • 10. Microsoft vision for a new era United platform for the modern service provider CUSTOMER DATACENTER SERVICE PROVIDER MICROSOFT AZURE CONSISTENT PLATFORM Enterprise-grade Global reach, scale, and security to meet business demands Hybrid cloud Consistent platform across multiple environments and clouds People-focused Expands technical skill sets to the cloud for new innovation
  • 11. [1] *Gartner “Magic Quadrant for Operational Database Management Systems,” by Donald Feinberg , Merv Adrian , Nick Heudecker, Adam Ronthal, October 2015 [2] *Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Josh Parenteau, Rita L. Sallam, Cindi Howson, Joao Tapadinhas, Kurt Schlegel, Thomas W. Oestreich, February 4, 2016 [3] *Gartner “Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics,” by Roxane Edjlali and Mark Beyer, February 25, 2016 This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Magic Quadrant for Data Warehouse Database Management Solutions3 A leader for the fifth consecutive year Magic Quadrant for Business Intelligence and Analytics Platforms2 Furthest in vision; leader 9 years running Magic Quadrant for Operational Database Management Systems1 Furthest in vision and ability to execute Microsoft is a leader for…
  • 12. SQL Server 2016: Everything is built-in The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Consistent experience from on-premises to cloud In-memory across all workloads built-inbuilt-in built-in built-in built-in TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster At massive scale 0 1 4 0 0 3 34 29 22 15 5 22 6 43 20 69 18 49 3 0 10 20 30 40 50 60 70 80 2010 2011 2012 2013 2014 2015 SQL Server Oracle MySQL SAP HANA TPC-H non-clustered 10TB Oracle is #5#2 SQL Server #1 SQL Server #3 SQL Server National Institute of Standards and Technology Comprehensive Vulnerability Database update 2/2016 Microsoft Tableau Oracle $120 $480 $2,230 Self-service BI per user Costs reflect EA pricing.
  • 13. SQL Server 2008 SQL Server 2008 R2 SQL Server 2000XML ● KPIs Compression ● Policy-Based Mgmt ● Programmability PowerPivot ● SharePoint Integration ● Master Data Services SQL Server 2012 AlwaysOn ● ColumnStore Index ● Data Quality Services ● Power View ● Cloud Connectivity SQL Server 2014 In-Memory Across Workloads ● Performance & Scale ● Hybrid Cloud Optimized ● HDInsight ● Cloud BI Management Studio ● Mirroring SQL Server 2005 SQL Server 2016 Enhanced Always On ● In-Memory OLTP ● Stretch DB ● Temporal Tables ● Enhanced Backup to Cloud ● Polybase ● Real-Time Operational Analytics ● Row-Level Security ● Query Store ● R Services● Always Encrypted ● Mobile BI The evolution of Microsoft SQL Server
  • 14. “Master data is one of the most important types of information in an organization, and the discipline of MDM is needed to ensure the consistency of this data across the organization, and when managing relationships with external constituents (customers, partners, suppliers, etc.). Mastering this data is critical to maintaining process integrity, which is required for organizations to maximize their chances of meeting their desired business outcomes.” Gartner, 2011 Challenges
  • 15.
  • 17.
  • 18. 18 Performance and Scale Modeling and Management Security and Admin Excel add-in 4-8x perf increase for SQL Server 2012 and SQL Server 2014. Up to 15x faster data loading in SQL 2016. Entity based staging Loading data into MDS is now 15-200% faster than SQL Server 2014. Model deployment Faster deployment, and removed size limitations when deploying models with data. Custom indexes Create non-clustered indexes on one or more attributes to improve query performance. Transaction log retention Configurable settings for retaining the MDS transaction history table to enable automatic truncation. Entity sync relationship Share entities and data between models. Many to many relationships Create derived hierarchies that support many-to-many relationships. Attribute filters Filter domain based attribute values based on another attribute. Business rule extensions Apply user defined SQL scripts as business rule conditions and actions. Explorer and Excel Integration Ability to open entity view in Excel add-in from Web Explorer. Granular security permissions Allows permissions to be set around read, write, create, and delete. Multiple administrator roles Support for Super User and Model Admin roles allows for multiple system administrators, and model level admins. Smarter caching of permissions Reduces the overhead of adding member and attribute level security settings. Member revision history Track change history of members (type 2) through specialized subscription view. Change sets and approval Use change sets to save pending changes.
  • 19.
  • 20.
  • 23.
  • 24.
  • 25. Data Solutions Provides storage and management of the objects and metadata used as the application knowledge • Object mappings • Reference Data / managed object lists • Metadata management / data dictionary Data Warehouse / Data Marts Mgmt Operational Data Management Enable business users to manage the dimensions and hierarchies of DW / Data Marts • BI scenarios Central data records mgmt and consumption sourced by other operational systems A company has adopted 6 “best of breed” systems from different vendors. They need to be able to propagate the correct customer information to each system in a consistent way. MDS provides a platform for central schema, integration points and validation.
  • 27. VENDOR DEMO Terho Antila, Sampo Yli-Olli 02/09/2016 www.bilot.fi 27
  • 28. Scenario: update vendor contacts Demand • Marketing manager Joe receives updated contact information for Sharp Bikes • The contact information needs to be updated in MDS Steps to accomplish 1. Check whether there are ongoing requests for the vendor 2. Create a new request to modify vendor data 3. Choose to modify global data to enable contact data edition 4. Maintain contact data and process the request 02/09/2016 www.bilot.fi 28
  • 29. Demo highlights 02/09/2016 www.bilot.fi 29 Integrated Wiki • Knowledge sharing from users to users Request level commenting • Possibility for participants to discuss the request Field comments • Highlighting problematic fields • Provide reasoning and audit data Collaborative filling • Multiple users can work on the same request simultaneously Locking • Prevents two users from editing the same field • Manual locking can be used by editor to ”reserve” a section for himself
  • 30. Scenario: add status classification for vendor data Demand • Purchasing organization wants to easily see vendor status. Status is not currently part of Vendor master data in MDS • Status is either New, Active, Blocked or Discontinued • The status selection should be positioned under Basic information section on the vendor modification form Steps to accomplish 1. Add data to MDS via Excel Add-In 2. Add the new attribute on the form as a select field by using MDS Wizard 3. Validate that the field is visible on the form and can be edited along with other global data 02/09/2016 www.bilot.fi 30
  • 31. Demo highlights Editing form and workflow is really easy Business rules can be used to control whether a field is mandatory, visible and/or editable MDS Wizard makes it really easy to fill a form section with fields fetched from MDS Less development, more control! 02/09/2016 www.bilot.fi 31
  • 32. Next breakfast event: 13.10.2016 8:30 - 11:00 INTEGROI OIKEIN MICROSOFT BIZTALKILLA JA AZURELLA Rekisteröidy nyt mukaan: www.bilot.fi  Events Tule kuulemaan, miten moderni pilvikyvykäs integraatio- ja palveluarkkitehtuurimaailma rakentuu oikein, ja miten pääset liikkeelle? 02/09/2016 www.bilot.fi 32