4. Big Data Examples
Instantly predict market trends
and customer needs
Provide exactly the right offers
and service levels to every
customer
Predict how market price volatility
will impact your production plans
Have a continuously-updated
window into future sales, showing
changes in real time
See changes in demand or supply
across your entire Supply Chain
immediately
Understand what your customers
and potential customers are
saying about you, right now
Monitor and analyze all deviations
and quality issues in your
production process
Predict cash flows to manage
collections, risk and short-term
borrowing in real time
4
6. Also traditional IT architectures are pressured
…driving new solutions such as Hadoop
2.8 ZB in 2012
85% from New Data Types
15x Machine Data by 2020
New Sources (Sentiment,
Clickstream, Geo, Sensor)
Ref: Hortonworks
40 ZB by 2020
6
9. SAP makes Big Data Actionable
Big Data Platform
Big Data
Analytics & Apps
Big Data Science
Real Time
Real Value
Real Results
10
10. Big Data success demands full coverage
Answer complex questions on granular data
Predict the best next action
Deep
Massive data scale
Many data types
Broad
Real-time streams of data
Ask a question, get an
immediate answer
Accessible
Real
Time
Simple
On any device or to any user
Self service and intuitive
interactions
No data preparation
No pre-aggregates
No tuning
11
11. Big Data is Strategic to SAP (eg: Acquisitions)
…revolutionizing the
way companies use
predictive analytics to
make better decisions
on petabytes of data.
…KXEN complements
existing advanced
analytics from SAP
including SAP
Predictive Analysis.
12
12. Big Data is Strategic to SAP (eg: Partners)
http://hortonworks.com/partner/sap/
http://hadoop.intel.com/videos/idh-sap-hana-story
13
13. SAP transforms both Businesses and IT
Reduce waste & fraud in government fund
<2 min for detecting 100,000 names over
90M records
Sharpen marketing effectiveness
56x faster reporting: micro-targeted
customer offers
Identify cancer DNA variants for treatment
216x faster results: 3 days 20 minutes
Accelerate monthly close & spending insight
75% reduction in CRM query
~23 to 6 seconds
Improve diagnostic through pattern detection
300M records; analysis in 2-10 seconds
Predict customer purchase sentiment
Seasonality Analysis in 5 seconds
Improve labor utilization
1131x faster reporting time
“Perfect order” experience
60x faster real-time insights
Launch new products or markets
400x faster report execution: Forecast
sales-trends in real-time
Remote roadside diagnostics in real-time
Analyze 15 years 1 TB data
in seconds
Deeper customer relationships
360 customer view and comprehensive
experience
14
14. SAP HANA Data Platform for Big Data
to unleash real-time business value
Consume
Store &
Process
Ingest
15
15. Big Data Applications
Make Big Data insights
actionable via industry
specific, business
focused applications
from SAP and
companies in the SAP
Startup Focus program.
:-)
Audience
Discovery (CEI)
Account
Intelligence (CEI)
Customer Value
Intelligence (CEI)
Fraud
Management
Social Contact
Intelligence (CEI)
Demand Signal
Management
Sentiment
Intelligence (RDS)
Manufacturing
(Operational Intelligence)
Manufacturing
(Responsive
Manufacturing)
16
16. Big Data Applications (eg: CEI)
Strategic
and Effective
Selling
Account
Intelligence
Personalized
Treatment
Real Time
Customer
Insights
Customer Value
Intelligence
Customer Engagement Intelligence
17
17. Big Data Applications (eg: DSiM)
SAP Demand Signal Management is the enterprise platform for integrating all
relevant demand signals (internal and external) to a single source of truth.
.
18
18. SAP Data Scientists
Top (PhD) level global team. Science teams in Scottsdale, Walldorf and Bucharest.
Credibility attained by working with >100 customers and creating some of the most sophisticated use cases
Pioneers in demand science, with significant reusable IP and deep analytic competencies
Insights and Compliance
Mathematical Modeling, Forecasting, Simulation, and Optimization
Experts in relevant SAP Technology: HANA, SAP Business Objects, SAP Predictive Analysis, Visualization
Flexible delivery
+
PAL and R
integration
SAP HANA
Platform and beyond
f ( x)
e
(x )
2
/( 2 )
2
+
2
Data Science
SAP Predictive Analysis
Dashboards
SAP Business Objects
19
25. SAP HANA: Predictive & Machine Learning
Provide Business Analysts with sophisticated
algorithms to take the next step in
understanding their business and modeling
outcomes.
Perform statistical analysis on your data to
understand trends and detect outliers in your
business.
Build models and apply to scenarios to forecast
potential future outcomes
Combine, manipulate and enrich data to apply
it to your business scenarios. Self-service
visualizations and analytics to tell your story
SAP HANA platform converges Database, Data Processing and Application Platform
capabilities & provides Libraries for predictive, planning, text, spatial, and business analytics
so businesses can operate in real-time.
26
26. SAP HANA: Text Analysis for Big Data
File Filtering
Unlock text from binary documents
Ability to extract and process unstructured text
data from various file formats
(txt, html, xml, pdf, doc, ppt, xls, rtf, msg)
Load binary, flat, and other documents directly
into HANA for native text search and analysis
SAP HANA
Text & Sentiment
Analysis
Native Text Analysis
Give structure to unstructured textual content
Expose linguistic markup for text mining uses
Classify entities (people, companies, things, etc.)
Identify domain facts
(sentiments, topics, requests, etc.)
Analyze
Search
Predict
Supports up to 31 languages for linguistic markup and extraction dictionary and 11 languages for
predefined core extractions
27
27. SAP IQ: Market Leader for Extreme EDW
2200+ customers with over 4500+
installations worldwide
Used by twice as many companies as
the next leading provider
Patented data compression
dramatically reduces data storage
requirement; cuts TCO
Only column-based solution to support
full text search, in-database analytics,
and federated analytics
High performance analytics server
Columnar RDBMS (stores data in columnsversus rows – extended storage for HANA)
Optimized for managing and accessing massive
amounts of data for analytics (vs transactions)
Accelerates analytics and reporting
Up to 1000-times faster than traditional
transactional databases
Handles structured and unstructured data
High compression and low TCO
Highly scalable grid architecture
Warm Big Data; Near real time loading and querying needs; Open/Commodity Hardware;
Hundreds of Terabytes to Petascale; Leverage current HW investments in commodity
hardware (Windows, Unix, RedHat); NLS for SAP HANA, Deep Hadoop Integration
28
28. SAP IQ: Integration with Hadoop
Client-side federation: Join data from SAP IQ and Hadoop at a
client-application level
ETL
Load Hadoop data into SAP IQ: Extract, transform, and load
data from Hadoop distributed file system (HDFS) into schemas of
SAP IQ via SAP Data Services
Join HDFS data with data of SAP IQ on the fly: Fetch and join
subsets of HDFS data on demand, using SQL queries from SAP
IQ (data federation technique)
Combine results of Hadoop MR jobs with SAP IQ data on the
fly: Initiate and join results of Hadoop MapReduce (MR) jobs ondemand using SQL queries from SAP IQ data (query federation
technique)
29
29. SAP Lumira: Visualizing Big Data
unleash analyst creativity
Provides the freedom to understand your data,
personalize it, and create beautiful content
Self Service for Analysts
Download and install on your desktop in
less than 5 minutes
Insight from many data sources
Combine, manipulate and enrich data to
apply it to your business scenarios
Self-service visualizations and analytics to
tell your story
Optimized for SAP HANA for real-time on
detailed data
30
30. SAP ESP: Streaming Big Data
Analyse and act on events as they happen – by relying on real-time event-driven analytics.
With our award-winning complex event processing (CEP) platform, you can develop and
deploy business-critical applications that give you the agility you need to make
quick, profitable decisions.
Process and analyse multiple streams of highspeed, high-volume complex event data in real time
Get actionable information from event streams and
generate alerts for events needing quick action
Initiate automatic responses to changing conditions
based on one or a combination of events
Develop applications quickly for fast ROI with the
high-performance CEP engine
31
31. SAP Business Objects: Analysing Big Data
Interactive
Reporting
Dashboards &
Visualization
Reporting
Analysis
BI Platform
Search &
Exploration
Semantic Layer
32
32. SAP InfiniteInsight: Using Big Data
end user predictive analytics
Revolutionizing the way companies use predictive
analytics to make better decisions on petabytes of data.
Predictive analytics‟ first-ever semantic layer
Automates the building of sophisticated predictive models
for every data mining function.
With clicks, not code, InfiniteInsight Scorer can deploy
optimized scoring equations
End-to-end social network analysis capabilities
Powerful visualization capabilities and graph exploration
33
33. SAP Mobile Platform: Mobile Big Data
Rapidly design cost-effective, innovative apps with the most open and
standards-based mobile application development platform
Simplify IT with integrated device
connectivity and management, data analysis,
and business processes
Inspire loyalty and reduce support costs by
offering intuitive, user-centric apps – faster
Engage users in a direct, two-way
conversation with apps that work on any
mobile device
Improve operations by giving employees and
partners anytime, anywhere access to
mission-critical applications
34
34. SAP Big Data Bundles
Integrated stack, flexible bundles, customizable to meet customer requirements and data footprint sizes, purchased
by the edition, added to as needed, or purchased a la carte, including all relevant Big Data technologies & services
SAP HANA platform
SAP IQ
Hadoop distribution from Intel or Hortonworks
Data procurement via Data Services and stream
processing via SAP Event Stream Processor (ESP)
Advanced Analytics PA/KXEN & Visualization (BI
4.1/Lumira)
Data Science services
Big Data specific Industry/LoB applications & solutions
35
37. Next step
Business scenario recommendation and value discovery workshop
SAP offers a proven
methodology and
approach to discover
the customer
specific business
improvement areas
and quantify value
potential
Value Discovery
workshop with your
LOB and IT experts
to develop a strategy
and roadmap for Big
Data
38
BIG DATA / REAL TIME / PREDICTIVEIt’s NOT JUST about big data!Do you think this guy trying to cross the street would trust data from 5 minutes ago? 1 minute? How about even 10 seconds ago?He has to process a lot of data, in real time, or he’s in a terrible horizontal spot.Businesses face the same exact type of requirement for real time information.
Emerging technology frontier is transforming our lives in every aspect. Digitization & hyper-connectivity is entering a new phase after transforming books, music, retail into healthcare, manufacturing, automotive. Whether it is the products we purchase or how we purchase, retailing and manufacturing is getting digitized and connected. Retailing is moving from transactions to 1-1 engaging relationships while manufacturing is moving from mass production to 3-Dimensional printing of custom products on-demand. And it is just not products and services but also we ourselves are getting digitized. Transforming healthcare from generic treatment based on disease to personalized medicine. Whether it is social networks or internet of things giving rise to big data, everything is becoming faster and smarter but becoming increasingly complex.Technology breakthroughs are already here to serve companies willing to re-think their business and re-invent themselves. In the new digital economy, leaders are looking to re-define their industry and capture bigger market share
Responding to the signals of change from dynamic global marketplace is a necessity. Variety, velocity and volume of data within businesses now double roughly every 18 months. With exploding mass of mobile enabled population, information required for servicing their needs has to be available at fingertips. Becoming a real-time business requires not only managing daily business transactions of your core business processes (e.g. finance, sales, production) in real-time but also being able to capture new data from sources like social media to enable one-to-one customer engagement or connecting directly to machines through sensors for getting reliable information on what’s really happening on the ground at each moment. It also means being able to analyze all this data in real-time - leveraging advanced models like predictive - for more relevant business decisions, and finally accessing real-time business insights on any device for immediate action.The SAP Business Suite is now powered by SAP HANA, the next generation platform. With SAP HANA, SAP provides the most modern suite of applications unifying analytics and transactions into a single in-memory platform. The result? The suite now allows real-time planning, execution, reporting and analysis across your end-to-end business processes. Business users can also get a unified – at finger tip – 360° views of real-time information - on any device - across all SAP Business Suite applications and even beyond like information from sensors and social medias. And you can leverage the suite to rethink your business processes as needed or simply invent new business models not possible before.The SAP HANA platform provides the basis to dramatically increase the performance of SAP Business Suite applications and innovate without disruption by also having the opportunity to leverage a new generation of real-time solutions from SAP and partners natively built on an open platform. With the SAP Business Suite now powered by SAP HANA, SAP is simply combining together the best suite of applications (SAP Business Suite) and the next generation platform (SAP HANA), for driving your entire business in real-time.
Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance.Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down.Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your distribution networkPropensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them.Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents.Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis
Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
Leveraging new technologies to capture and manage all of the data coming at us (Big Data) gives us the opportunity to run our business using signals that are relevant today.These signals can measure performance, provide critical indicators about the business, identify customer issues and complaints, help us market more effectively and accurately, and all in real-time.
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
Responding to the signals of change from dynamic global marketplace is a necessity. Variety, velocity and volume of data within businesses now double roughly every 18 months. With exploding mass of mobile enabled population, information required for servicing their needs has to be available at fingertips. Becoming a real-time business requires not only managing daily business transactions of your core business processes (e.g. finance, sales, production) in real-time but also being able to capture new data from sources like social media to enable one-to-one customer engagement or connecting directly to machines through sensors for getting reliable information on what’s really happening on the ground at each moment. It also means being able to analyze all this data in real-time - leveraging advanced models like predictive - for more relevant business decisions, and finally accessing real-time business insights on any device for immediate action.The SAP Business Suite is now powered by SAP HANA, the next generation platform. With SAP HANA, SAP provides the most modern suite of applications unifying analytics and transactions into a single in-memory platform. The result? The suite now allows real-time planning, execution, reporting and analysis across your end-to-end business processes. Business users can also get a unified – at finger tip – 360° views of real-time information - on any device - across all SAP Business Suite applications and even beyond like information from sensors and social medias. And you can leverage the suite to rethink your business processes as needed or simply invent new business models not possible before.The SAP HANA platform provides the basis to dramatically increase the performance of SAP Business Suite applications and innovate without disruption by also having the opportunity to leverage a new generation of real-time solutions from SAP and partners natively built on an open platform. With the SAP Business Suite now powered by SAP HANA, SAP is simply combining together the best suite of applications (SAP Business Suite) and the next generation platform (SAP HANA), for driving your entire business in real-time.
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance.Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down.Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your distribution networkPropensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them.Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents.Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis
Supercharged BW with Dramatically Improved PerformanceBusiness: Improved decision making, faster reporting, and the most up-to-date informationIT: Faster data loading and decreased data latencySimplified Administration and Streamlined LandscapeBusiness: Reporting requests executed faster and minimal IT involvement IT: Reduced administration and lower TCOUnlock The Power of Your Data Across The EnterpriseBusiness: Self-service access to all information at the most granular levelIT: Simplified IT workload with easy access to operational data martsPreserve Your BW Investment without DisruptionBusiness: Minimal training impact to business users and administratorsIT: Migration without disruption of your BW application
ISV / Application Development - https://www.sapappsdevelopmentpartnercenter.com/en/