Sales Force Automation (SFA) and Customer Relationship Management (CRM) tools, such as Salesforce.com and Microsoft Dynamics CRM, are ubiquitous tools that provide all of the transactional capabilities required to manage a company's sales pipeline. SFA and CRM data alone, however, is limited and so combining it with information from other sources enables you to create unique and powerful insights. When combined with product and financial data, for example, get visibility into relationships between geographies, sales reps, product performance, and revenue to ultimately optimize profits. Layer on advanced analytic to make predictions about future product sales based on seasonality and other market conditions. To unleash the full power of the CRM and dramatically increase operational performance and top-line revenue, companies are leveraging advanced analytic and data visualization to deliver new insights to the entire sales organization. Moreover, delivering these sales enablement productivity solutions on mobile devices, ensures strong adoption across every sales team. Join us in this webinar to learn how to use MicroStrategy together with Amazon Redshift to build mobile sales productivity solutions for your business.
MicroStrategy on Amazon Web Services (AWS) CloudCCG
MicroStrategy Demonstration on Amazon Web Services (AWS) Cloud presented by Convergence Consulting Group (CCG) at the Florida MicroStrategy User Group Meeting on 9/10/14. For more information visit www.ccgbi.com
MicroStrategy World 2014: Scaling MicroStrategy at eBayTim Case
eBay has one of the largest data warehouses in the world! See how the BI Platform team at eBay had to rethink and rebuild their system architecture and processes in order to support the ever-growing data volume and scalability needs of their developers and users.
Why Microstrategy and why learn microstrategy training ,Business Analytics with Microstrategy,Microstrategy Business Intelligence, Why we are using Microstrategy,microstrategy business intelligence software
User can run queries via MicroStrategy’s visual interface without the need to write unfamiliar HiveQL or MapReduce scripts. In essence, any user, without programming skill in Hadoop, can ask questions against vast volumes of structured and unstructured data to gain valuable business insights.
MicroStrategy on Amazon Web Services (AWS) CloudCCG
MicroStrategy Demonstration on Amazon Web Services (AWS) Cloud presented by Convergence Consulting Group (CCG) at the Florida MicroStrategy User Group Meeting on 9/10/14. For more information visit www.ccgbi.com
MicroStrategy World 2014: Scaling MicroStrategy at eBayTim Case
eBay has one of the largest data warehouses in the world! See how the BI Platform team at eBay had to rethink and rebuild their system architecture and processes in order to support the ever-growing data volume and scalability needs of their developers and users.
Why Microstrategy and why learn microstrategy training ,Business Analytics with Microstrategy,Microstrategy Business Intelligence, Why we are using Microstrategy,microstrategy business intelligence software
User can run queries via MicroStrategy’s visual interface without the need to write unfamiliar HiveQL or MapReduce scripts. In essence, any user, without programming skill in Hadoop, can ask questions against vast volumes of structured and unstructured data to gain valuable business insights.
To download go to http://www.microstrategy.com/9/
In this presentation you'll find information about the following subjects:
- The MicroStrategy Architecture
- Extending the Performance, Scalability & Effeciency of Enterprise BI
- Enabling Rapid Deployment of Departemental BI
- Supporting Smooth Migration from Deparatemental Islands of BI to Enterprise BI
- MicroStrategy Products
Denodo 6.0: Self Service Search, Discovery & Governance using an Universal Se...Denodo
Presentation slides taken from Fast Data Strategy Roadshow San Francisco Bay Area.
For more Denodo 6-0 demos, please follow this link:https://goo.gl/XkxJjX
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
Talend Metadata Bridge accelerates the design and continuous improvement of integration scenarios by sharing, synchronizing and managing metadata across your enterprise data environment.
Developers save time by focusing on design and improving productivity to apply change, architects gain agility to keep their projects up to date with the latest business needs and technologies, and business users can access to crucial information about their data for reporting, validation, auditing and compliance.
xRM is the natural evolution of CRM. Businesses are expanding their use of new generation CRM solutions to manage a wider range of scenarios, including asset management, prospect management, citizen management, and many more. Microsoft CRM sits on the .NET platform and because of that, it is much more than a traditional CRM product. Instead, think of Microsoft CRM is as a rapid development application with out of the box CRM functionality. The purpose of this session is to understand Microsoft's CRM strategy and how you get to market first with world class business solutions.
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...Vasu S
Read a case study that how Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters
https://www.qubole.com/resources/case-study/ibotta
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
So why hasn’t everyone already moved to the Cloud? Why hasn’t everyone already transformed into a data-driven organization? What obstacles are standing the way? How should organizations get started on their journey? Financial institutions are quickly embracing the speed and agility that a cloud-based digital transformation can provide. This session will provide an overview for how retail banking, investment banking, and insurance can remove obstacles and launch a successful analytics journey to the cloud.
Informatica Solution for SWIFT IntegrationKim Loughead
Overview of Informatica's solution for financial services organizations who need to exchange payment data including SWIFT, NACHA, SEPA, FIX, etc. messages with other financial institutions
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Denodo
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DR6r3m.
As a global leader in financial asset management services, Legg Mason grappled with how to align it’s big, complex and ever changing CRM and reporting data/processes from conventional client/server to current day SaaS model such as Salesforce. Challenges we faced are multi-faceted, but notably first how to safely migrate and sync cloud and onsite data; and secondly how to architect front end application design for best data consumption.
In this session, you will learn:
* Data migration BP ( best practices ), tips, gochas at details, setting up a brand new Informatica environment.
* BP around Informatica Cloud, PowerCenter (PC) connecting to Salesforce.
* BP around setup and prepare a SaaS app like Salesforce to work with Informatica products.
An overview on how we have approached dataops to allow analysts and data scientists to work quickly and release frequently with high confidence. Covers:
- Cloud/multi-cloud architecture
- CI/CD in the data space
- Development, testing, and deployment
- Monitoring and alerting
Social CRM - #Datamarketing @DM2013Toronto ArCompany
CRM is not a new concept, but with the emergence of Big Data, it has the ability to transform organizations more than ever.
The rise of the social customer has also given rise to communities, friends, and recommendation sites having profound influence in their purchase decision. Companies have gotten too big to think about the individual customer. Companies have ignored the statistically insignificant.
These days, that same customer has the ability to bring down Goliath. I always come back to United Breaks Guitars incident. The truth is that we've now come full circle and these days in order to get a customer and keep them you have to go beyond just meeting their expectations.
A recent article: "The Reason So Many Brands Fail On Social Media Is That They Don't Actually Talk To Their Customers" indicated the following:
The wealth of data on customer desires being generated is helping organizations work more effectively, and achieve better results.
Social customer management doubles the percentage of sales leads that result in actual sales, relative to traditional CRM approaches.
Corporations are starting to recognize that paying attention to customer comments, interests and preferences–once deemed "irrelevant" by brands– becomes the competitive differentiator.
To download go to http://www.microstrategy.com/9/
In this presentation you'll find information about the following subjects:
- The MicroStrategy Architecture
- Extending the Performance, Scalability & Effeciency of Enterprise BI
- Enabling Rapid Deployment of Departemental BI
- Supporting Smooth Migration from Deparatemental Islands of BI to Enterprise BI
- MicroStrategy Products
Denodo 6.0: Self Service Search, Discovery & Governance using an Universal Se...Denodo
Presentation slides taken from Fast Data Strategy Roadshow San Francisco Bay Area.
For more Denodo 6-0 demos, please follow this link:https://goo.gl/XkxJjX
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
Talend Metadata Bridge accelerates the design and continuous improvement of integration scenarios by sharing, synchronizing and managing metadata across your enterprise data environment.
Developers save time by focusing on design and improving productivity to apply change, architects gain agility to keep their projects up to date with the latest business needs and technologies, and business users can access to crucial information about their data for reporting, validation, auditing and compliance.
xRM is the natural evolution of CRM. Businesses are expanding their use of new generation CRM solutions to manage a wider range of scenarios, including asset management, prospect management, citizen management, and many more. Microsoft CRM sits on the .NET platform and because of that, it is much more than a traditional CRM product. Instead, think of Microsoft CRM is as a rapid development application with out of the box CRM functionality. The purpose of this session is to understand Microsoft's CRM strategy and how you get to market first with world class business solutions.
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...Vasu S
Read a case study that how Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters
https://www.qubole.com/resources/case-study/ibotta
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
So why hasn’t everyone already moved to the Cloud? Why hasn’t everyone already transformed into a data-driven organization? What obstacles are standing the way? How should organizations get started on their journey? Financial institutions are quickly embracing the speed and agility that a cloud-based digital transformation can provide. This session will provide an overview for how retail banking, investment banking, and insurance can remove obstacles and launch a successful analytics journey to the cloud.
Informatica Solution for SWIFT IntegrationKim Loughead
Overview of Informatica's solution for financial services organizations who need to exchange payment data including SWIFT, NACHA, SEPA, FIX, etc. messages with other financial institutions
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Denodo
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DR6r3m.
As a global leader in financial asset management services, Legg Mason grappled with how to align it’s big, complex and ever changing CRM and reporting data/processes from conventional client/server to current day SaaS model such as Salesforce. Challenges we faced are multi-faceted, but notably first how to safely migrate and sync cloud and onsite data; and secondly how to architect front end application design for best data consumption.
In this session, you will learn:
* Data migration BP ( best practices ), tips, gochas at details, setting up a brand new Informatica environment.
* BP around Informatica Cloud, PowerCenter (PC) connecting to Salesforce.
* BP around setup and prepare a SaaS app like Salesforce to work with Informatica products.
An overview on how we have approached dataops to allow analysts and data scientists to work quickly and release frequently with high confidence. Covers:
- Cloud/multi-cloud architecture
- CI/CD in the data space
- Development, testing, and deployment
- Monitoring and alerting
Social CRM - #Datamarketing @DM2013Toronto ArCompany
CRM is not a new concept, but with the emergence of Big Data, it has the ability to transform organizations more than ever.
The rise of the social customer has also given rise to communities, friends, and recommendation sites having profound influence in their purchase decision. Companies have gotten too big to think about the individual customer. Companies have ignored the statistically insignificant.
These days, that same customer has the ability to bring down Goliath. I always come back to United Breaks Guitars incident. The truth is that we've now come full circle and these days in order to get a customer and keep them you have to go beyond just meeting their expectations.
A recent article: "The Reason So Many Brands Fail On Social Media Is That They Don't Actually Talk To Their Customers" indicated the following:
The wealth of data on customer desires being generated is helping organizations work more effectively, and achieve better results.
Social customer management doubles the percentage of sales leads that result in actual sales, relative to traditional CRM approaches.
Corporations are starting to recognize that paying attention to customer comments, interests and preferences–once deemed "irrelevant" by brands– becomes the competitive differentiator.
Big Data: Unveiling opportunities in Email MarketingEmail Monks
This infographic by Monks unveils the big data opportunities discussing multi-channel data management, big data analytics models, customer data types, etc. to help marketers with the best practices to utilize big data in email marketing.
Anderson SAA 2014 Using CRM Data for "Big Picture" Researchdinaa_proj
David G. Anderson (University of Tennessee) presented his paper, “Using CRM Data for ‘Big Picture’ Research,” at the 79th annual meeting of the Society for American Archaeology in Austin, TX, in April 2014. This paper details the importance of CRM research in the development of Archaeology over the last forty years. Giving credit to the hundreds of thousands of technical reports and other forms of archaeological data stemming from ever-increasing amounts of CRM research in the Southeast, Anderson says this is the basis on which big picture research can now be accomplished. As technology and storage have caught up with the massive scale of new archaeological questions, digital repositories like DINAA can be utilized as highly effective tools.
Marketing Automation & CRM: Terrible Twosome or Dynamic Duo?Pardot
No matter where you are in your marketing automation/CRM lifecycle, whether beginning your search, choosing a system, implementing and integrating or utilizing already existing systems, this webinar is presented with you in mind!
- Choosing a New System – Learn how to give your current process a thorough “once-over” and use this information to establish your shopping list
- Implementing / Integrating a System – Learn what to do – after you’ve made the big purchase
- Optimizing an Existing System – Learn how to maximize your current process approach and bring marketing and sales together – how to play “nice” and get things done
Valtech - Big Data for Marketing
Aurélie Hornoy, Digital Performance Lead, Valtech
aurelie.hornoy@valtech.fr
The benefits of data-driven marketing
Event - Big Data : de l'analytics à la créativité ...
Valtech - 29/11
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014Amazon Web Services
Leveraging big data and high performance computing (HPC) solutions enables your organization to make smarter and faster decisions that influence strategy, increase productivity, and ultimately grow your business. We kick off the Big Data and HPC track with the latest advancements in data analytics, databases, storage, and HPC at AWS. Hear customer success stories and discover how to put data to work in your own organization.
Big Data and Marketing: Data Activation and ManagementConor Duke
Data Management and Activation
Crevan O’Malley – Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channel—helping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening I’ll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
Futurecasting: Big Data, Social Data API &d CRM Convergence, What Will Be th...Dave Mendoza
Working with leading talent strategy consultant Dave Mendoza, Futurestep published a new report into “Futurecasting” – the high-impact concept that could transform the business of recruiting. Currently, most organizations are only scratching the surface when it comes to making sense of the huge quantities of data that now exist about billions of potential job candidates across the globe. But the right enhancements to Candidate Relationship Management (CRM) platforms – and crucially to the way they are actually used – could see the talent industry finally start to match the huge strides achieved by leading proponents in sales and marketing.
The Impact of Big Data On Marketing Analytics (UpStream Software)Revolution Analytics
Presenter: Tess Nesbitt, Senior Statistician, UpStream Software
Presentation Date: February 26, 2013
This presentation describes how Hadoop and Revolution R Enterprise provide the predictive analytics models for UpStream's revenue attribution application.
Real Time Marketing Big Data Analytics Social Marketing Intelligence DisruptionChase McMichael
Social Analytics-driven Real-time Marketing with Domain-specific Use Cases The Take away from this event:
1. What is Real Time Marketing and how marketers are using it
2. Why social analysis "The Science" is here to stay and how it works
3. Beyond the buzz word of Big Data - real use cases on how SMBs and Big cos are harnessing insight, trends and content to engage with their customers.
Start your Monday off right and be the smartest person in the room. @chasemcmichael
eMarketer Webinar: Data Management Platforms—Using Big Data to Power Marketin...eMarketer
Join eMarketer for a discussion on how Data Management Platforms (DMPs) are enabling marketers to use their big data to make smarter and more efficient marketing decisions.
Customer value analysis of big data productsVikas Sardana
Business value analysis through Customer Value Model for software technology choices with a case study from Mobile Advertising industry for Big Data use case.
Understand the Big Data ecosystem on the Cloud and the building blocks that help you build application for Data Mining and Visualization. Also learn from Latentview Analytics on how they built “PanelMiner” a Platform That Efficiently Transforms Unstructured HTML Data to Structured Data to gain Insights about consumer behavior from large data sets.
Presenter:
Ganesh Raja, Solution Architect, Amazon Internet Services
Ganesh Sankarlingam, Head of Delivery (US West Coast), LatentView Analytics
Shrirang Bapat, Vice President – Engineering, Pubmatic
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Take Action: The New Reality of Data-Driven BusinessInside Analysis
The Briefing Room with Dr. Robin Bloor and WebAction
Live Webcast on July 23, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b
The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes.
Visit InsideAnlaysis.com for more information.
Sponsored by Data Transformed, the KNIME Meetup was a big success. Please find the slides for Dan's, Tom's, Anand's and Chhitesh's presentations.
Agenda:
Registration & Networking
Keynote – Dan Cox, CEO of Data Transformed
KNIME & Harvest Analytics – Tom Park
Office of State Revenue Case Study – Anand Antony
Using Spark with KNIME – Chhitesh Shrestha
Networking & Drinks
In this slidedeck, Infochimps Director of Product, Tim Gasper, discusses how Infochimps tackles business problems for customers by deploying a comprehensive Big Data infrastructure in days; sometimes in just hours. Tim unlocks how Infochimps is now taking that same aggressive approach to deliver faster time to value by helping customers develop analytic applications with impeccable speed.
Seeing Redshift: How Amazon Changed Data Warehousing ForeverInside Analysis
The Briefing Room with Claudia Imhoff and Birst
Live Webcast April 9, 2013
What a difference a day can make! When Amazon announced their new RedShift offering – a data warehouse in the cloud – the entire industry of information management changed. The most notable disruption? Price. At a whopping $1,000 per year for a terabyte, RedShift achieved a price-point improvement that amounts to at least two orders of magnitude, if not three when compared to its top-tier competitors. But pricing is just one change; there's also the entire process by which data warehousing is done.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Claudia Imhoff explain why a new cloud-based reality for data warehousing significantly changes the game for business intelligence and analytics. She'll be briefed by Brad Peters of Birst who will tout his company's BI solution, which has been specifically architected for cloud-based hosting. Peters will discuss several key intricacies of doing BI in the cloud, including the unique provisioning, loading and modeling requirements. Founded in 2004, Birst has nearly a decade of doing cloud-based BI and Analytics.
Visit: http://www.insideanalysis.com
Top SAP Online training institute in HyderabadAadhyaKrishnan
ERP tech is the one of the top & Best SAP Training institute in Hyderabad. We offers best training completely on all SAP Modules Like BPC Embedded, BPC Classic and HANA with Reasonable prices.
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsLooker
Infectious Media runs on data. But, as an ad-tech company that records hundreds of thousands of web events per second, they have have to deal with data at a scale not seen by most companies. You can not make decisions with data when people need to write manual SQL only for queries take 10-20 minutes to return. Infectious Media made the switch to Google BigQuery and Looker and now every member of every team can get the data they need in seconds.
Infectious Media shares:
- Why they chose their current stack
- Why faster data means happier customers
- Advantages and practical implications of storing and processing that much data
Check out the recording at https://info.looker.com/h/i/308848878-power-to-the-people-a-stack-to-empower-every-user-to-make-data-driven-decisions
Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
The Big Data phenomenon is being driven by the growth of machine data. Critical insights found in machine data enable IT and Security teams to ensure uptime, detect fraud and identify threats. Today, forward-thinking organizations are discovering its value to better understand their customers, improve products, optimize marketing and improve business processes. Learn how Splunk and your machine data can deliver real-time insights from this new class of data and complement your existing BI investments.
Similar to AWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
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
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
6. Creating Value from Data Assets
Recommendations,
Collective Intelligence
Visualization
Measuring Functionality
and Services
Hypothesis Testing &
Predictions
Learning from Social
Media Conversations
SOCIAL
BIG DATA
Machine Learning
Dashboards
Business Intelligence
Ad Hoc Queries
A/B Testing
Statistical
Analysis
Sentiment Analysis
7. Big Data AWS Cloud
Potentially Massive Data Sets Massive, virtually unlimited capacity
Iterative, experimental style of data
manipulation and analysis
Iterative, experimental style of
infrastructure deployment/usage
Frequently not a steady-state
workload;
peaks and valleys
Efficient with highly variable
workloads
Time to results is key
Parallel compute clusters from single
data source
Hard to configure/manage
Managed services for data storage
and analysis
8. AWS Data Services
Data
Velocity
Variety
Volume
Structured, Unstructured, Text, Binary
Gigabytes, Terabytes, Petabytes
Millisecond, Second, Minute, Hour, Day
EBS EC2
Instance Storage
RDS Redshift
SQL Stores
EMR
Hadoop
DynamoDB
NoSQL
Kinesis
Stream
Storage Services
S3
Cloud
Front
Glacier
Elasticache
Caching
Data
Pipeline
Orchestrate
10. MySQL, Oracle, SQLServer, Postgres
Backup/Restore, High Availability
Push Button Scalability
Up to 3 TB and 30K IOPS
Amazon
RDS
11. Master instance group
Core instance group Task instance group
HDFS HDFS
Amazon S3 Amazon
Redshift
Amazon
DynamoDB
Amazon EMR Hadoop Tuned for AWS
12. Nokia: 50% Cost Savings with 2x Faster Queries
Hadoop Tools
Improving Rapidly
On-demand, Flexible,
Big Data Technologies
Cheaper and
Faster
Redshift & Hadoop Price-performance
Advantage over
RDBMS
>50% platform cost savings>2x
faster queries Minimal DBA
support
Redshift, Hadoop, S3, EMR, Data Pipeline for ETL
Cost-effective for 10s of TB data sets
AMI-based Services
Internet Speed Report Authoring
Hypothesis testing vs. waterfall
16. 16
Dramatically Increase Sales Productivity
Increase rep productivity and extract more value out of your SFA/CRM investment with advanced analytics and mobile enablement solutions
17. Big Data Challenge
Is big data an IT…
Adventure
Solution
for business problems
18. Be(come) a Hero
•Solve a real business problem
•Here is what you can do for your organization using your Big Data, MicroStrategy, Amazon Redshift
•25% outperformance of quota achievement, 20% higher win rate, 3X more likely to close proposals to sale, 5x more likely to avoid excessive discounting, better up-selling, cross-selling,
•Do it fast
•Be on the leading edge
•Low risk
19. Background
•What is MSTR
•How does it relate to the analytics application / process flow
•How does MSTR work?
•Metadata based, modelling, mapping EDW -> MSTR objects, build dashboards, reports, etc…
•Some examples of applications
•Tablets
•-caching
•-pc startup
•-latest collateral
20. Evolution of Analytics
• Grids, reports
• Dashboards
• Information driven apps
• Close loop analytics
• Mobile
• Workflow and Collaboration
21. The Sales Enablement Challenge
MicroStrategy Customer Survey
-Top challenges
-Top activities that sales and sales management want to execute
Commercial Intelligence
“The Substance”
Customer
Engagement
“The Style”
Field Productivity
“The Execution”
No Hardware / Software
“The Acceleration”
$
22. 22
Sales Force Automation and Customer Relationship Management Tools Only Give You 10% of What You Need to be Successful
SFA/CRM Tools Provide…
•Basic Operational Reports and Charts
•Account & Opportunity Management
•Fast Collaboration & Social Media
MicroStrategy Enhances Your SFA Investment With…
•Big Data Analytics
•Advanced Analytics: Forecasting, Budgeting, Churn Analysis, etc.
•Reports Personalized to Sales Reps and Customers
•Combine Data from Multiple Sources
•Self-Service Visual Data Discovery
•Geo-spatial analysis with Maps
•Affinity Analysis with Network Diagrams
•Mobile Analytics
•Rich, Updated Multimedia on Mobile
•Mobile Sales Enablement Apps
•Code Free Mobile App Platform
•On-the-go Analytics, Transactions, and Multimedia
•MORE…
•What arethe benefits –for each feature?
•Most peoplehaven’t started a big data project
23. 23
Your Current Sales Analytics Aren’t Enough
Limited to current data within SFA/CRM systems
Scripting required for advanced mathematical operations and functions
Basic pie and bar charts
Silos of Current
Information
Basic
Functions
Simple
Visualizations
Sales Data
Support Data
Financial Data
Marketing Data
Analytical Data Store
Addition +
Subtraction -
Multiplication x
Division ÷
Exponentiation bn
Summarization
Min
Max
$
24. Addition +
Subtraction -
Multiplication x
Division ÷
Exponentiation bn
Summarization
Min
Max
Limited to current data within SFA/CRM systems
Sales Data
Support Data
Financial Data
Marketing Data
Analytical Data Store
Basic pie and bar charts
Scripting required for advanced mathematical operations and functions
Combine SFA/CRM data with data from different sources and with historical data
Visualize your data to spot patterns and identify trends
Expand your analyses with accessible advanced analytical capabilities
ƒ(x)=Σ{x + 2(2x + 3x)}
Data Mining
Predictions
Statistics
Financial Analytics
More…
Advanced Analytics
24
Your Current Sales Analytics Aren’t Enough
Silos of Current
Information
Basic
Functions
Simple
Visualizations
Combine
Expand
Visualize
$
25. 25
The Opportunity for Your Sales Organization
Tablets have ushered in a new era of field sales capabilities
Sales Capabilities
Sales teams are empowered with a combination of the device plus Sales focused Apps
Tablet features
Brought to life by a collection of technologies maturing at the same timeAppsGPSMulti- TouchBattery LifeInstant OnFlash Data StorageApp StoresInternet3G/4G
Getting information to the sales reps has never been easier. Location Driven SellingInformed Actions and SellingLight & easy to carryEasy for Sales RepsGreat to share w/ customersSales data only a tap away10+ hours of SellingApps designed for Humans, not Geeks
$
26. 26
Customer Engagement in Its Finest Form
Present Relevant and interactive information.
$
•Interactive, spontaneous conversations
•Multimedia collateral on-demand
•Customized visual insights
Hello, Relevant & Interactive.
Goodbye, Death by PowerPoint.
28. 28
Don’t just listen to us.
Hear from some of our customers …
29. 29
Time to value, accelerated.
10xFaster
•Avg. of 3.2 weeks to solution
•Pre-integrated, pre- optimized environment
•Dedicated implementation manager
1/10the Cost
•Reduced total cost of ownership
Flexible
Secure
Connect to Data Sources Everywhere
Baked in, not bolted on
•Keep data on-premise using Direct Connect
•Or, take advantage of low cost, high-performance database and data integration options in the Cloud
•Highest levels of security and operational control
•Secure, virtualized environments
•Data encryption
•Hardened network infrastructure including secure customer VLANs
$
Why MSTR + AWS
48 hours or less
Save millions up-front
30. 30
MicroStrategy Services Offering Components: Sales Productivity
Accelerate getting a sales enablement app into the hands of your reps.
•100% code-free
•Intuitive navigation and layout
•Customizable / Extensible architecture
•Robust selectors and filters drive each UI touch point.
Pre-defined core objects hosted in the Cloud
Proven, Extensible Mobile Framework
Robust library of pre- defined, role-based reports & dashboards
On-demand access to library of multimedia enablement materials
•DWH schema, ETL scripts, metadata layer
•Analytics and Mobile Services
•Blend data with other Enterprise systems (i.e. ERP, HR)
•Cloud-based deployment
•Time series analysis
•Period-to-period comparisons
•Attainment & Tracking
•Whitespace analysis
•Update opportunities or capture new orders while in the field
•And, more.
•Online/offline access to all sales enablement materials
•Product Demos & Videos
•Customer testimonials
•Sales decks, videos, brochures, white papers, pricing
•Competitive analysis reports
31. 31
Get Started in 30 Days –No Risk, No Cost, No Obligation
Custom Mobile App or Analytics Dashboard Prototype
The Free MicroStrategy QuickStrike
•Hands-on working session with our experts
•We build you a custom dashboard on web or mobile
•Your own data, your own custom processes
•Running in AWS
AWS Marketplace
32. Love us so much you want to see us?
•MicroStrategy Governed Data Discovery and Analytics Booth
•Big Data BootcampLab: Data Visualization using MicroStrategy
•Demo at the AWS Marketplace Booth
Visitus
http://www.microstrategy.com/aws
Search for “MicroStrategy”
https://aws.amazon.com/marketplace
or