1. The document discusses emerging trends in business intelligence (BI), including big data integration and analysis, self-service BI, advanced analytics, and agile delivery approaches.
2. It analyzes customer needs for BI like access to dynamic and relevant information against market offerings in areas such as data visualization, mobile BI, and cloud BI.
3. The document benchmarks BI tools across categories including data integration, visualization, analytics, data storage, and administration.
A short overview about Business Intelligence. What BI is in short, how BI market is growing, what vendors are operating in the market today. Future directions.
Business Intelligence, Portals, Dashboards and Operational Matrix with ShareP...Optimus BT
Key areas of growth in Business Intelligence with SharePoint | Optimus BT
The business environment has driven organizations to view BI as more than technology with strategy, end user adoption, collaboration, real time predictions, pervasive deployments, and mobile adoptions that allows for intelligent business decision making process while keeping cost and IT expertise at the forefront.
This presentation provides an overview of current state of Business Intelligence, portals and dashboards has been deployed enterprise wide, challenges in the existing deployments and how Business Intelligence can be scaled up to the end users in terms of cross organizational collaboration, business initiatives, data availability, user acceptance and data source integration. Even more, this presentation talks about the trends that drive BI which includes but not limited to predictive & real time analysis, Mobile Business Intelligence and Social BI within the process framework, Social Media Analytics, Self Service BI. Towards the later part of the presentation we talk about the vision of a BI solution to meet business initiatives, and how SharePoint 2010 will be a clear winner in terms of how various platforms stack up. There are few real implementation screens illustrated towards the end w.r.t Sales, financial and decision making portal dashboards.
Optimus BT provides end to end SharePoint Business Intelligence Software Consulting and solution implementation services. Using SQL server integration capabilities and SharePoint excel services our BI solutions bring analytics from data warehouse systems into an intuitive dashboard which helps real time reporting with self service tools. Learn more @ www.optimusbt.com/sharepoint_business_intelligence
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
A short overview about Business Intelligence. What BI is in short, how BI market is growing, what vendors are operating in the market today. Future directions.
Business Intelligence, Portals, Dashboards and Operational Matrix with ShareP...Optimus BT
Key areas of growth in Business Intelligence with SharePoint | Optimus BT
The business environment has driven organizations to view BI as more than technology with strategy, end user adoption, collaboration, real time predictions, pervasive deployments, and mobile adoptions that allows for intelligent business decision making process while keeping cost and IT expertise at the forefront.
This presentation provides an overview of current state of Business Intelligence, portals and dashboards has been deployed enterprise wide, challenges in the existing deployments and how Business Intelligence can be scaled up to the end users in terms of cross organizational collaboration, business initiatives, data availability, user acceptance and data source integration. Even more, this presentation talks about the trends that drive BI which includes but not limited to predictive & real time analysis, Mobile Business Intelligence and Social BI within the process framework, Social Media Analytics, Self Service BI. Towards the later part of the presentation we talk about the vision of a BI solution to meet business initiatives, and how SharePoint 2010 will be a clear winner in terms of how various platforms stack up. There are few real implementation screens illustrated towards the end w.r.t Sales, financial and decision making portal dashboards.
Optimus BT provides end to end SharePoint Business Intelligence Software Consulting and solution implementation services. Using SQL server integration capabilities and SharePoint excel services our BI solutions bring analytics from data warehouse systems into an intuitive dashboard which helps real time reporting with self service tools. Learn more @ www.optimusbt.com/sharepoint_business_intelligence
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
Business intelligence (BI) is a set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes.
This Presentation covers the basic concept of Business Intelligence, BI Technologies, BI Tools, Future of BI, Real time BI, Key Stages of BI, BI Industry & Decision Support Applications.
Financial Markets Data & Analytics Led TransformationGianpaolo Zampol
How big data, advanced analytics and cognitive computing is disrupting traditional business and operating models in financial markets? New competitors, powered by social, mobile, analytics, and cloud computing, are making new business models emerging rapidly. Wealth Management, Corporate Banking and Transaction Banking & Payments are significant sources of growth in Financial Markets. How take advantage from those new technologies to face this new scenario?
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
This publication seeks to explain what business intelligence is, its history, usage in modern business operations and prospects into the future of BI.
The publication also mentions relevant software tool that help deliver business intelligence solutions.
What is business intelligence and where it is applicable is described in this presentation. The subject is offered as elective to BE IT students of Pune University.
An basic ideas about needs and concepts of business intelligence.
Presented on DotNetters Tech Summit - 2015 RUET
Presenter: Maksud Saifullah Pulak
Event Url: https://www.facebook.com/events/512834685530439/
What is business intelligence? Where have we been, where are we now, and where are we going? These slides provide a brief history of business intelligence, enjoy.
Entry Points – How to Get Rolling with Big Data AnalyticsInside Analysis
The Briefing Room with Robin Bloor and IBM
Live Webcast Sept. 24, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
Where to begin? That question remains prominent for many organizations who are trying to leverage the value of big data analytics. Most sources of big data are quite different than traditional enterprise data systems. This requires new skill sets, both for the granular integration work, as well as the strategic business perspective required to design useful solutions.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
Business intelligence (BI) is a set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes.
This Presentation covers the basic concept of Business Intelligence, BI Technologies, BI Tools, Future of BI, Real time BI, Key Stages of BI, BI Industry & Decision Support Applications.
Financial Markets Data & Analytics Led TransformationGianpaolo Zampol
How big data, advanced analytics and cognitive computing is disrupting traditional business and operating models in financial markets? New competitors, powered by social, mobile, analytics, and cloud computing, are making new business models emerging rapidly. Wealth Management, Corporate Banking and Transaction Banking & Payments are significant sources of growth in Financial Markets. How take advantage from those new technologies to face this new scenario?
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
This publication seeks to explain what business intelligence is, its history, usage in modern business operations and prospects into the future of BI.
The publication also mentions relevant software tool that help deliver business intelligence solutions.
What is business intelligence and where it is applicable is described in this presentation. The subject is offered as elective to BE IT students of Pune University.
An basic ideas about needs and concepts of business intelligence.
Presented on DotNetters Tech Summit - 2015 RUET
Presenter: Maksud Saifullah Pulak
Event Url: https://www.facebook.com/events/512834685530439/
What is business intelligence? Where have we been, where are we now, and where are we going? These slides provide a brief history of business intelligence, enjoy.
Entry Points – How to Get Rolling with Big Data AnalyticsInside Analysis
The Briefing Room with Robin Bloor and IBM
Live Webcast Sept. 24, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
Where to begin? That question remains prominent for many organizations who are trying to leverage the value of big data analytics. Most sources of big data are quite different than traditional enterprise data systems. This requires new skill sets, both for the granular integration work, as well as the strategic business perspective required to design useful solutions.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
In an era of Big Data organizations are looking to use analytic insight to improve
their business. Rapidly changing competitive landscapes and the need to evaluate and
adopt new business models is pushing organizations to become more adaptive. How
can these imperatives be reflected in the way we build systems? In response to these imperatives, organizations are increasingly buying or building a new class of systems - Decision Management Systems. Decision Management Systems leverage the growing power of predictive analytics to create agile, analytic and adaptive processes and systems.
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
DAMA Webinar: Turn Grand Designs into a Reality with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2HMdbUp
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is,
• How it differs from other enterprise data integration technologies
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Implementing a Successful, Scalable, Governed BI ProgramPyramid Analytics
Explore elements, challenges, and tips in orchestrating a successful BI program. See related highlights from the BARC BI Survey 14 and from Gartner research. This slide presentation accompanies a webinar given in March 2015. For more contextual information related to these slides, see the list of content on the “Additional resources” slide of this presentation.
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
The retail industry is at the forefront of the Big Data revolution, with every point-of-sale transaction, website click, or social media post potentially revealing an insight into the customer’s preferences and buying behaviour. The capability to harness this information effectively to provide optimal pricing and enhanced customer experience can be a game-changer for retailers.
How to Capitalize on Big Data with Oracle Analytics CloudPerficient, Inc.
The average age of a company listed on the S&P 500 has fallen from almost 60 years old in the 1950s to less than 20 years old today. Innovative companies that are willing to embrace transformative technologies make the list today, while businesses that are hesitant to embrace change risk becoming obsolete.
Innovators use big data solutions as a competitive advantage to increase revenue, reduce cost, and improve cash flow. Turn big data into actionable insights with Oracle Analytics Cloud.
We identified the big data opportunities in front of you and how to take advantage of them:
-Big data and its architecture
-Why a big data strategy is imperative to remaining relevant
-How Oracle Analytics Cloud can help you connect people, places, data, and systems to fundamentally change how you analyze, understand, and act on information
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
2. Sommaire
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BI framework
Traditionnel BI view
Review of BI customer needs
Customer needs vs Market offers
Market innovation areas
BI trends
Benchmarking
3. BI framework
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Business Intelligence is playing a key role in modern business and is
considered central to identifying new opportunities within an organization
4. Traditionnel BI
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focused on
collecting data
Simple on
presenting data
complex for
business users
Required Trained
users
Data analysis
• No appropriate tools for
business users
Limited resources
• wait several days to
receive data insights
into corporate
performance
5. Review of BI Customer needs
Date
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traditional customer
needs
Improved quality of information available
to the companies.
Access to relevant information in easy-
to-use reporting interfaces for ad hoc
reporting.
Assistance with interpreting and drawing
conclusions from the information.
Access to relevant information in
standard reports.
An overview of which data is available
for analysis.
A formal/Quick assessment of the
companies information needs.
Business needs
Power to the business user :Easy to use
and understand
Data is dynamic and evolving : enables
users to absorb data on the fly
Anytime, anywhere
Make it relevant –make it personal :
getting the right information and insight
to the specific user
The power of being social : collaborate
using social tools
cost effective BI
6. Customer needs vs market offers
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Improved quality
of information
available to the
companies.
Data is dynamic
and evolving
Data intégration
and Quality,
Data
Governance,
Master Data
Management
In-memory
storage
Big Data
storage,
Integration
7. Customer needs vs market offers
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Access to
relevant
information in
easy-to-use
reporting
interfaces for
ad-hoc
reporting.
Power to the
business user.
Make it relevant-
make it
personal.
Data visualisation
and dashbording
Advanced
visualisation
Self service BI
(create report)
Mass reporting
Collaborative BI/
BI portal
Customer-Facing Business
Intelligence
8. Customer needs vs market offers
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Access to
relevant
information in
standard
reports.
Anytime,
anywhere
Targeted
solutions
Embedded BI,
mobile
Real time BI
Active Report
9. Customer needs vs market offers
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Assistance with
interpreting and
drawing
conclusions
from the
information.
the power of
being social
Analyst tools :
statistic, predective
Big data analysis
Performance
Management
Data discovery, BI
search
Sentiment analysis
10. Customer needs vs market offers
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A formal/Quick
assessment of
the companies
information
needs.
cost effective BI
Agile BI
Cloud
BI as service
Open source BI
11. Market innovation areas
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Big Data Integration, Management and
analysis
Data Quality, Governance, and Master
Data Management
Customer-Facing Business Intelligence
and mobile BI
Performance Management
Advanced Analytics
•Price Simulation
•Predictive Analytic
Business Process Automation
12. Market innovation areas
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Data Quality, Governance, and Master
Data Management
In-memory
capabilities
Benefits :
• Less persistence
• reduces time to creation of component
• improves flexibility and,
• Reducing the need for physical data marts means
less data movement reformatting and extracting, and
much less data redundancy
• eliminates the need for specific technical tuning of the
data mart
• gain more agility in design and development activities
Disadvantages :
• The CPU may have to wait for the data to be loaded
from memory to cache. If that becomes a bottleneck
due to high data volumes, it may be best to load only
the data needed for the analytic process
13. Market innovation areas
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Data Quality, Governance, and Master
Data Management
Virtualization
Benefits
• like in-memory
technologies (Less design
effort, less data
movement, easier
maintenance, less data
redundancy, lower costs,
and better agility in
designs and development)
• no synchronization issues,
• the ability to combine
different data sets together
(e.g., operational data with
analytic results)
MasterData
Management
To effectively sell to
existing and potential
customers,
companies must
obtain a fully unified
view of all their
activities
(MDM) tools, ensures
that information about
clients and prospects
is correct, complete,
and consistent across
all enterprise systems
and sources
14. Market innovation areas
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Big Data Integration, Management and
analysis
Bigdata Needs :
• companies seeking to optimize revenue need to effectively tap into the wealth of
information that exists in their internal systems, as well as the data that is available
via social media channels and third-parties.
• Selon IBM : 3V:volume, variety, and velocity
• Définition : Big data technologies describe a new generation of technologies and
architectures, designed to economically extract value from very large volumes of a
wide variety of data, by enabling high- velocity capture, discovery, and/or analysis
• Related to NoSQL :Groups non relational approaches under a single term
Benefits
• include “sandboxes” or experimental areas in addition to the enterprise data
warehouse
• ability to analyze ALL the data not just subsets , historical and real-time,
structured and unstructured
• NoSQL, Hadoop, columnar databases, in-database analytics, and in-memory
caching all improve performance and storage requirements
deadvantages
• it may prove to be prudent to separate the traditional data warehouse ETL/Data
Quality processing from the big data ETL one. It generally means you must use
micro-batches to achieve required near real-time capabilities
• Need for new connectors to big data sources
15. Market innovation areas
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Customer-Facing Business IntelligenceLowlatencyor
real-timeanalytics
requirements
Need :
• Operational intelligence requires fresher, more
current data .
• Business users must be able to analyze data
as soon as it is made available or within a few
minutes of its creation
Benefits :
• high availability, disaster recovery,
• the ability to embed BI in operational
workflows,
• faster response times
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Market innovation areas Customer-Facing Business Intelligence
Data
visualisation
• Web 2.0 gives BI a
face-lift
• BI goes mobile
• Microsoft office BI
integration
becomes standard
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Market innovation areas Advanced Analytics
Advanced Analytics
• Such as predictive analysis, statistical analysis, …
• It easier for organizations to uncover where risk may exist, and under what conditions it
could do the most damage
Use case
• Banks and credit cards companies, for instance, analyze withdrawal and spending
patterns to prevent fraud or identity theft.
• Ecommerce companies examine Web site traffic or navigation patterns to determine
which customers are more or less likely to buy a product or service based upon prior
purchases or viewing trends.
Data analytics vs datamining
• Data analytics is distinguished from data mining by the scope, purpose and focus of the
analysis. Data miners sort through huge data sets using sophisticated software to
identify undiscovered patterns and establish hidden relationships
18. Agile BI : accelerating the time to deliver value
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Agile BI
In-
memory
Real-
time
Search
Self-
service
Open
source
SAAS
19. New or emerging trends
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BI goes green
Analytic applications
make a comeback :
specific to business
areas
Composite
applications and
embedded BI
empower operational
workers(BI gadgets)
Advanced
visualization
becomes part of
core BI
event-driven analytic
platforms
System and usage
monitoring mature
Mission-critical
infrastructure :
clustering, failover,
turbocharge,
microbatches, …
20. Tools Benchmarking
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Data intégration
ETL tool
databases sources
fichiers plats
Bigdata sources
social network data
salesforce data
master data management
audit erreurs et gestion des
rejets
Data visualisation
et dashbording
TdB standars
Tdb personnalisés
Tdb interactifs
Self-service BI
Advanced visualization
intégration des valeurs
objectifs/cibles
collaboratif/portail décisionnel
reporting de masse
mobile device support
temps réel
Bigdata
Active Report. (offline)
Data discovery
comptabilité analytique
Statistical Analysis
predictive analytics
analyse multidimensionnelle
microsoft office integration
Requette ad hoc
text mining
BI search
Sentiment analysis (social
media)
Performance
management
performance management
tools(balanced scorecard)
performance planning
business activity monitoring
business process management
21. Tools Benchmarking(suite)
Datepied de page
21
Data storage
SGBDR
OLAP
spécifique : CRM, SCM,…
datawarehouse/datamarts
Bigdata/document
warehouses
in-memory storage
Administration
gestion des métadonnées
gestion de la sécurité
gestion de reprise après
incident
System and usage monitoring
mature
Alerts
management
dans les tableaux de bord
au sein du portail décisionnel
envoi des alertes par mail
envoi des alertes par sms
déploiement
Cloud
SAAS
opensource
propriétaire
packaged analytic
applications
Composite applications and
embedded BI: gadget
for Operational/ ERP Systems
Editor's Notes
TDWI_TMR_2Q08_Report pdf
See more at: http://theinnovationenterprise.com/summits/business-intelligence-innovation-summit-chicago-2013#sthash.dz54Ndxx.dpuf
Miller, Bräutigam, & Gerlach, 2006
IBI_Eight Ways to Generate Revenue and Drive Growth
IBI_Five Ways to Enhance Governance and Compliance
Big Data Integration, Management and analysis
Sentiment Analysis
Data Quality, Governance, and Master Data Management
Customer-Facing Business Intelligence
sharing important information with clients, whether it’s the status of an order or a project, product enhancement plans, or achievement toward critical service metrics, companies can build the kind of trust that transforms client/vendor relationships into truly collaborative partnerships.
Mobile BI
provides yet another convenient channel through which customers can interact with their vendors using their smartphones and tablet
Performance Management
Advanced Analytics
Price Simulation
Predictive Analytic
Business Process Automation
IBI_Eight Ways to Generate Revenue and Drive Growth
IBI_Five Ways to Enhance Governance and Compliance
Big Data Integration, Management and analysis
Sentiment Analysis
Data Quality, Governance, and Master Data Management
Customer-Facing Business Intelligence
sharing important information with clients, whether it’s the status of an order or a project, product enhancement plans, or achievement toward critical service metrics, companies can build the kind of trust that transforms client/vendor relationships into truly collaborative partnerships.
Mobile BI
provides yet another convenient channel through which customers can interact with their vendors using their smartphones and tablet
Performance Management
Advanced Analytics
Price Simulation
Predictive Analytic
Business Process Automation
IBI_Eight Ways to Generate Revenue and Drive Growth
IBI_Five Ways to Enhance Governance and Compliance
Big Data Integration, Management and analysis
Sentiment Analysis
Data Quality, Governance, and Master Data Management
Customer-Facing Business Intelligence
sharing important information with clients, whether it’s the status of an order or a project, product enhancement plans, or achievement toward critical service metrics, companies can build the kind of trust that transforms client/vendor relationships into truly collaborative partnerships.
Mobile BI
provides yet another convenient channel through which customers can interact with their vendors using their smartphones and tablet
Performance Management
Advanced Analytics
Price Simulation
Predictive Analytic
Business Process Automation
IBI_Eight Ways to Generate Revenue and Drive Growth
IBI_Five Ways to Enhance Governance and Compliance
Big Data Integration, Management and analysis
Sentiment Analysis
Data Quality, Governance, and Master Data Management
Customer-Facing Business Intelligence
sharing important information with clients, whether it’s the status of an order or a project, product enhancement plans, or achievement toward critical service metrics, companies can build the kind of trust that transforms client/vendor relationships into truly collaborative partnerships.
Mobile BI
provides yet another convenient channel through which customers can interact with their vendors using their smartphones and tablet
Performance Management
Advanced Analytics
Price Simulation
Predictive Analytic
Business Process Automation
IBI_Eight Ways to Generate Revenue and Drive Growth
IBI_Five Ways to Enhance Governance and Compliance
Big Data Integration, Management and analysis
Sentiment Analysis
Data Quality, Governance, and Master Data Management
Customer-Facing Business Intelligence
sharing important information with clients, whether it’s the status of an order or a project, product enhancement plans, or achievement toward critical service metrics, companies can build the kind of trust that transforms client/vendor relationships into truly collaborative partnerships.
Mobile BI
provides yet another convenient channel through which customers can interact with their vendors using their smartphones and tablet
Performance Management
Advanced Analytics
Price Simulation
Predictive Analytic
Business Process Automation
Agile business intelligence addresses a broad need to enable flexibility by accelerating the time it takes to deliver value with BI projects
Agile BI utilizes agile software techniques and tools to accelerate development and deployment. (See Agile BI.)
In-memory BI exploits the reduced cost and increasing power of computer memory and processing.
Self-service BI enables users to access and analyze data with less dependence on IT resources.
Real-time BI focuses on delivering information to users or systems as events are occurring.
Search integrates access to unstructured content and structured data in reports or dashboards.
Open source and software-as-a-service BI provide alternative licensing and service options.