This document contains a presentation given by MicroStrategy on January 30th, 2013 about optimizing sales, service, and marketing using Salesforce.com and MicroStrategy. It discusses how MicroStrategy can help address some limitations in Salesforce.com reporting and provide advanced analytics, multi-source data access, and superior visualization capabilities. Examples are given of how unified mobile apps, dynamic dashboards, advanced analytics, visual analysis, and alerts could be used with Salesforce.com and MicroStrategy together. The document also provides information on how MicroStrategy integrates with and connects to Salesforce.com data.
This document discusses MicroStrategy's business intelligence solutions for the insurance industry. It provides an overview of MicroStrategy as a company and its offerings. Key points include:
- MicroStrategy has over 20 years of experience in business intelligence and supports hundreds of insurance companies worldwide.
- It provides mobile and desktop solutions for profitability optimization, distribution analytics, claims management, and vendor management.
- These solutions help insurance companies analyze complex risks, distribution channels, claims processes, and vendor performance.
- MicroStrategy's platform is uniquely suited to the insurance industry's complex and varied needs through high performance, scalability, and multi-channel support.
MicroStrategy 9 vs SAP BusinessObjects 4.1BiBoard.Org
A whitepaper from MicroStrategy Inc. comparing MicroStrategy 9.4.1 and SAP BusinessObjects 4.1. Source: https://www.microstrategy.com/us/company/white-papers
MicroStrategy 9 vs Oracle 11G BI capabilitiesBiBoard.Org
A whitepaper comparing MicroStrategy 9.4.1 and Oracle 11G BI capabilities from MicroStrategy Inc. Source: https://www.microstrategy.com/us/company/white-papers
The concept of a 360° view, especially of customers, although it potentially applies to other things too, has been around for a substantial period of time. The idea behind the 360° view of customers is that the more you know about your customers the easier it will be to meet their needs, both in terms of products and aftersales care, and to market additional goods and services to them in the most efficient fashion. Thus a 360° view helps both in terms of customer retention and acquisition, as well as up-sell and cross-sell.
In this presentation which complements Bloor Whitepaper on the "Extended 360 degree view" we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended 360° view represents an opportunity, both for those that have already implemented a 360° view and for those that have not.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
This document discusses MicroStrategy's business intelligence solutions for the insurance industry. It provides an overview of MicroStrategy as a company and its offerings. Key points include:
- MicroStrategy has over 20 years of experience in business intelligence and supports hundreds of insurance companies worldwide.
- It provides mobile and desktop solutions for profitability optimization, distribution analytics, claims management, and vendor management.
- These solutions help insurance companies analyze complex risks, distribution channels, claims processes, and vendor performance.
- MicroStrategy's platform is uniquely suited to the insurance industry's complex and varied needs through high performance, scalability, and multi-channel support.
MicroStrategy 9 vs SAP BusinessObjects 4.1BiBoard.Org
A whitepaper from MicroStrategy Inc. comparing MicroStrategy 9.4.1 and SAP BusinessObjects 4.1. Source: https://www.microstrategy.com/us/company/white-papers
MicroStrategy 9 vs Oracle 11G BI capabilitiesBiBoard.Org
A whitepaper comparing MicroStrategy 9.4.1 and Oracle 11G BI capabilities from MicroStrategy Inc. Source: https://www.microstrategy.com/us/company/white-papers
The concept of a 360° view, especially of customers, although it potentially applies to other things too, has been around for a substantial period of time. The idea behind the 360° view of customers is that the more you know about your customers the easier it will be to meet their needs, both in terms of products and aftersales care, and to market additional goods and services to them in the most efficient fashion. Thus a 360° view helps both in terms of customer retention and acquisition, as well as up-sell and cross-sell.
In this presentation which complements Bloor Whitepaper on the "Extended 360 degree view" we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended 360° view represents an opportunity, both for those that have already implemented a 360° view and for those that have not.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
The 360 degree view simply means that it is the all-round information about the customer that is collected by the company to provide the most personalized and efficient customer service.
Digital & Analytics Dialogue UK event, 26 Apr. 2018
Pestana Chelsea Bridge - London, UK
Website: http://goo.gl/kbDfkW
Sjaun goes through the engineering projects to build a framework and infrastructure to overcome the most frustrating issues his data science teams experience on marketing campaign projects (data preparation and automating activated data across 3rd party sites).
Agenda:
• Define and compare - Marketing Mix, Attribution Modelling &
Customer 360 degree view strategy aka Customer Journey
Analytics.
• Outline the value Customer 360 degree view strategy engineering brings to both models by
improving data quality matching off-site web data.
• The complexity of tracking customer journeys in Customer 360 degree view strategy.
• Explain the engineering solution and a quick example.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
Achieving strong and lasting customer relationships through increased agents proficiency and reliability with IBM Watson Explorer. Discover its benefits!
The document discusses setting up a Scalable Metrics Model (SMM) for a data lake. The SMM uses pre-aggregated metrics and dimension keys to provide a flexible and scalable approach. An example model from retail is described, including defining customer-level dimensions, metrics, and value-added metrics. The document outlines the ETL process, including writing queries to populate metrics for different granularities and integrating them into a framework. Reporting options are also discussed, including using views, tables, and reporting tools to provide accessibility and analysis capabilities. Finally, the extensibility of the model by adding new dimensions like sellers and transactions is highlighted.
When writing this new paper, my main objective was to provide a clear understanding of where the term "Big Data" comes from, why is that term so popular now, what does it really mean and what can be its implication for businesses. Because the full power of Big Data can be revealed only by Analytics, i provided a description of a widely recognized and used analytical techniques to help you figure out how used in conjunction with Big Data, analytics can boost Business Performance.
i expected that by the end of this paper :
- you will smile the next time you read or hear at the terms big data, hadoop, or analytics :)
- you will understand the technologies that are behind the scene when one talks about "Big Data"
- you will know how to "make sense" of Big Data using Analytics
- you will get a basic idea of data mining techniques used in Business in general and in Big Data in particular
- you will be able to get every news about Big Data
Many retailers are stymied by the complex, multi-channel world of today's consumer. In today’s era of one-to-one personalized relationships, you need a way to link customer interactions, visits, purchases and the like from multiple touch points to fill those gaps and capture the 360° customer view needed to improve the customer experience, target offers and generate better returns.
Addressing the challenges and issues with businesses struggling to deliver successful Data Science in environments - Measure Camp, Bucharest (2 Nov. 2019)
This document provides an overview of the enterprise customer data platform (CDP) market and guidance for choosing a CDP. It finds that the CDP market is growing rapidly due to increasing complexity in customer data and journeys. CDPs collect, normalize and build unified customer profiles from all data sources to share across marketing systems. The report describes key CDP capabilities, vendors, and recommends a multi-step process for selecting a CDP that includes determining needs, identifying vendors, scheduling demos and checking references. Nineteen leading CDP vendors are profiled.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Datalicious was founded in 2007 to provide data analytics services and has since expanded to a full-service 360 data agency. The document discusses challenges with traditional approaches to building a single customer view and proposes using Splunk as a more innovative and cost-effective solution. Splunk allows for real-time integration of various data sources like website, call center, and CRM data to power customer insights and targeted campaigns.
The document discusses Microsoft's business intelligence solutions and how they empower users, improve organizational effectiveness, and increase IT efficiency. It highlights features like PowerPivot for Excel that allow self-service analytics on vast data. Dashboards and scorecards are described as visual tools to monitor key metrics and promote transparency. Microsoft BI is said to leverage existing IT investments and tools people already know like Excel, reducing costs.
This document provides biographical information about Dr. Dinh Le Dat, the co-founder and CEO of ANTS, a Big Data advertising and data-driven marketing solution company. It outlines his educational background, including a PhD in Physics and Mathematics from Moscow State University, and over 15 years of experience working for technology companies in Vietnam, including roles as CTO of FPT Online Service JSC and co-founder of Yola JSC. It also lists his contact information and links to his LinkedIn profile and website.
ExactTarget's Fuel Platform opens the ExactTarget Marketing Cloud to third-party development, enabling you to create apps that fully integrate with the Marketing Cloud?s common calendaring, campaign management, and analytics frameworks. Join us to learn how to build Marketing Cloud apps using the Fuel Platform and take those apps to market alongside ExactTarget in HubExchange, the Marketing Cloud?s integrated app marketplace.
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...Rising Media Ltd.
Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
This document describes FACETz DMP, a data management platform that aggregates anonymous behavioral data on Russian consumers from online, mobile, social, and offline sources. It provides profiles on 65 million individuals with 90% monthly reach of the Russian population. The platform uses this data to generate insights, segments, and scores for applications like online targeting, personalization, predictive analytics, and CRM. It is leveraged by companies in digital marketing, banking, and other industries to improve targeting, targeting, customer service and drive business efficiency.
Analyst field reports on top 15 MDM solutions - Aaron Zornes (NYC 2021)Aaron Zornes
The document provides field reports on various Master Data Management (MDM) solutions. It lists the top evaluation criteria for MDM solutions and the "Top 15" MDM vendors. For several vendors, it summarizes the strengths and caveats of their solutions based on recent versions. It also lists notable customer references for some vendors.
This document provides a list of Gartner reports organized alphabetically by category. It includes over 100 Magic Quadrant and MarketScope reports covering various technology markets such as analytics, cloud, security, networking and more. The last update date is provided for each report.
Presentation by VondaSoft at the Zensar #TechShowcase. An iSPIRT ProductNatio...ProductNation/iSPIRT
Vondasoft – Mumbai and Bangalore based; Scans multiple social media for your relevant brand, filters data based on many attributes and provides the true social image metrics for your brand.
The document discusses challenges with enterprise content management (ECM) implementations. It cites statistics showing that 27% of ECM users are disappointed with their implementations and 50% of ECM technologies fail within large organizations. The annual cost of inability to find information is estimated to be around $5.3 million per thousand information workers. Microsoft's solution aims to address these issues by improving user experience, engagement and search capabilities while reducing costs.
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
The 360 degree view simply means that it is the all-round information about the customer that is collected by the company to provide the most personalized and efficient customer service.
Digital & Analytics Dialogue UK event, 26 Apr. 2018
Pestana Chelsea Bridge - London, UK
Website: http://goo.gl/kbDfkW
Sjaun goes through the engineering projects to build a framework and infrastructure to overcome the most frustrating issues his data science teams experience on marketing campaign projects (data preparation and automating activated data across 3rd party sites).
Agenda:
• Define and compare - Marketing Mix, Attribution Modelling &
Customer 360 degree view strategy aka Customer Journey
Analytics.
• Outline the value Customer 360 degree view strategy engineering brings to both models by
improving data quality matching off-site web data.
• The complexity of tracking customer journeys in Customer 360 degree view strategy.
• Explain the engineering solution and a quick example.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
Achieving strong and lasting customer relationships through increased agents proficiency and reliability with IBM Watson Explorer. Discover its benefits!
The document discusses setting up a Scalable Metrics Model (SMM) for a data lake. The SMM uses pre-aggregated metrics and dimension keys to provide a flexible and scalable approach. An example model from retail is described, including defining customer-level dimensions, metrics, and value-added metrics. The document outlines the ETL process, including writing queries to populate metrics for different granularities and integrating them into a framework. Reporting options are also discussed, including using views, tables, and reporting tools to provide accessibility and analysis capabilities. Finally, the extensibility of the model by adding new dimensions like sellers and transactions is highlighted.
When writing this new paper, my main objective was to provide a clear understanding of where the term "Big Data" comes from, why is that term so popular now, what does it really mean and what can be its implication for businesses. Because the full power of Big Data can be revealed only by Analytics, i provided a description of a widely recognized and used analytical techniques to help you figure out how used in conjunction with Big Data, analytics can boost Business Performance.
i expected that by the end of this paper :
- you will smile the next time you read or hear at the terms big data, hadoop, or analytics :)
- you will understand the technologies that are behind the scene when one talks about "Big Data"
- you will know how to "make sense" of Big Data using Analytics
- you will get a basic idea of data mining techniques used in Business in general and in Big Data in particular
- you will be able to get every news about Big Data
Many retailers are stymied by the complex, multi-channel world of today's consumer. In today’s era of one-to-one personalized relationships, you need a way to link customer interactions, visits, purchases and the like from multiple touch points to fill those gaps and capture the 360° customer view needed to improve the customer experience, target offers and generate better returns.
Addressing the challenges and issues with businesses struggling to deliver successful Data Science in environments - Measure Camp, Bucharest (2 Nov. 2019)
This document provides an overview of the enterprise customer data platform (CDP) market and guidance for choosing a CDP. It finds that the CDP market is growing rapidly due to increasing complexity in customer data and journeys. CDPs collect, normalize and build unified customer profiles from all data sources to share across marketing systems. The report describes key CDP capabilities, vendors, and recommends a multi-step process for selecting a CDP that includes determining needs, identifying vendors, scheduling demos and checking references. Nineteen leading CDP vendors are profiled.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Datalicious was founded in 2007 to provide data analytics services and has since expanded to a full-service 360 data agency. The document discusses challenges with traditional approaches to building a single customer view and proposes using Splunk as a more innovative and cost-effective solution. Splunk allows for real-time integration of various data sources like website, call center, and CRM data to power customer insights and targeted campaigns.
The document discusses Microsoft's business intelligence solutions and how they empower users, improve organizational effectiveness, and increase IT efficiency. It highlights features like PowerPivot for Excel that allow self-service analytics on vast data. Dashboards and scorecards are described as visual tools to monitor key metrics and promote transparency. Microsoft BI is said to leverage existing IT investments and tools people already know like Excel, reducing costs.
This document provides biographical information about Dr. Dinh Le Dat, the co-founder and CEO of ANTS, a Big Data advertising and data-driven marketing solution company. It outlines his educational background, including a PhD in Physics and Mathematics from Moscow State University, and over 15 years of experience working for technology companies in Vietnam, including roles as CTO of FPT Online Service JSC and co-founder of Yola JSC. It also lists his contact information and links to his LinkedIn profile and website.
ExactTarget's Fuel Platform opens the ExactTarget Marketing Cloud to third-party development, enabling you to create apps that fully integrate with the Marketing Cloud?s common calendaring, campaign management, and analytics frameworks. Join us to learn how to build Marketing Cloud apps using the Fuel Platform and take those apps to market alongside ExactTarget in HubExchange, the Marketing Cloud?s integrated app marketplace.
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...Rising Media Ltd.
Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
This document describes FACETz DMP, a data management platform that aggregates anonymous behavioral data on Russian consumers from online, mobile, social, and offline sources. It provides profiles on 65 million individuals with 90% monthly reach of the Russian population. The platform uses this data to generate insights, segments, and scores for applications like online targeting, personalization, predictive analytics, and CRM. It is leveraged by companies in digital marketing, banking, and other industries to improve targeting, targeting, customer service and drive business efficiency.
Analyst field reports on top 15 MDM solutions - Aaron Zornes (NYC 2021)Aaron Zornes
The document provides field reports on various Master Data Management (MDM) solutions. It lists the top evaluation criteria for MDM solutions and the "Top 15" MDM vendors. For several vendors, it summarizes the strengths and caveats of their solutions based on recent versions. It also lists notable customer references for some vendors.
This document provides a list of Gartner reports organized alphabetically by category. It includes over 100 Magic Quadrant and MarketScope reports covering various technology markets such as analytics, cloud, security, networking and more. The last update date is provided for each report.
Presentation by VondaSoft at the Zensar #TechShowcase. An iSPIRT ProductNatio...ProductNation/iSPIRT
Vondasoft – Mumbai and Bangalore based; Scans multiple social media for your relevant brand, filters data based on many attributes and provides the true social image metrics for your brand.
The document discusses challenges with enterprise content management (ECM) implementations. It cites statistics showing that 27% of ECM users are disappointed with their implementations and 50% of ECM technologies fail within large organizations. The annual cost of inability to find information is estimated to be around $5.3 million per thousand information workers. Microsoft's solution aims to address these issues by improving user experience, engagement and search capabilities while reducing costs.
Mobility won't wait for your salesforceBiBoard.Org
This document discusses the results of a survey of 500 organizations on mobile sales enablement. The survey found that many sales forces face challenges from limited mobile access to key systems and inefficient administrative work. It also found that internal sales systems are often not well-suited for mobile field activity. The document advocates for developing a mobile strategy using a platform like MicroStrategy Mobile to provide sales reps with mobile apps that allow on-the-go access to CRM, analytics, content, and collaboration tools to improve productivity and customer interactions. It provides examples of how some companies have benefited from mobile sales enablement apps.
The document provides an overview of the GoodData analytics platform. It discusses how the platform aims to democratize analytics and empower more business users, beyond just analysts. The platform is designed to distribute analytics to business networks to drive revenue, efficiency and other benefits. It achieves this through its distribution, analytics and insights services which allow customers to define, distribute and improve analytic products for their networks.
Are you struggling to keep up with the evolving digital marketing landscape?
That’s where marketing technology – or MarTech – comes in. The right MarTech tools can help you automate tasks and streamline your workflow for better performance.
But how do you upgrade your MarTech stack to ensure you’re maximizing campaign effectiveness?
In this webinar, we’ll walk you through some of the leading tools and solutions you should consider including in your MarTech stack for 2023 and beyond.
Join iQuanti’s Vishal Maru, VP of Digital Solutions and Shaubhik Ray, Senior Director of Digital Analytics, as well as Tealium’s Josh Wolf, Director of Partner Solutions Consulting, as they discuss the implications, pros, and cons of the leading MarTech platforms.
Key Takeaways:
- How the MarTech landscape has evolved.
- Key considerations while selecting tools for your MarTech stack.
- Framework to assess your MarTech maturity.
The market is changing faster than ever, so make sure you don’t get left behind.
Not only is Artificial Intelligence and Machine Learning (AI/ML) becoming more mainstream in marketing, but new media such as over-the-top (OTT) and short-form video are also gaining traction – not to mention new privacy regulations, third-party cookie departure, Apple’s App Tracking Transparency (ATT) feature, and the launch of Google Analytics 4 (GA4).
Watch now and get the latest insights to inform your marketing strategy.
Logic fin - company analisis example -alteryx 2014-11Diego Gutierrez
Company Descriptions
Product Offerings and Area of Focus
Growth Rate and Growth Potential
Funding Status (Seed, Series A, etc.)
Business Model
Customer Base
Big data can provide foodservice companies with actionable insights if they address data aggregation challenges. By harmonizing disparate data sources, companies can prioritize sales opportunities, understand market trends, evaluate trade investment returns, and push customized recommendations to sales teams. This allows companies to leverage big data for sales and trade advantages without overburdening headquarters staff.
Dashboards that Set Your App Apart: The Complete Predictive Analytics Lifecyc...Hannah Flynn
Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications?
In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application. Find out how a real-world application decided what predictive questions to ask, sourced the right data, organized resources, built models, deployed predictive analytics in production, and monitored model performance over time.
Dashboards that Set Your App Apart: The Complete Predictive Analytics Lifecyc...Aggregage
Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications?
In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application. Find out how a real-world application decided what predictive questions to ask, sourced the right data, organized resources, built models, deployed predictive analytics in production, and monitored model performance over time.
Salesforce mumbai user group june meetupRakesh Gupta
This document summarizes a presentation about data management in Salesforce. It discusses the problems of dirty or incomplete data, including financial costs to businesses. It provides strategies for standardizing, cleaning, and enriching data through deduplication, ensuring completeness by setting validations and record types, and monitoring data quality. The presentation offers tips for fewer duplicates in Salesforce and protecting data from internal mistakes through backups. It emphasizes understanding how data flows in and is used before implementing a data strategy.
Flow is a data science platform that allows companies to overcome obstacles to extracting insight from big data. It can scale to large datasets through its distributed architecture. Flow accepts both structured and unstructured data from various sources. It also abstracts away complex data science concepts to make the platform intuitive and easy to use. This allows companies to leverage data science without deep technical knowledge.
This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.
The document discusses data integration techniques for integrating salesforce.com with other systems. It describes Informatica as a leader in data integration tools and its ability to provide batch and real-time integration. A case study is presented of a networking company that implemented Informatica to integrate salesforce.com with its Oracle ERP and other legacy systems, achieving improved data quality and synchronization across systems.
Commvault provides a single platform for comprehensive data management including data protection, replication, archiving, analytics, governance and compliance. The platform offers business insights through data analytics. Commvault has been recognized as a leader in Gartner's Magic Quadrant for data center backup and recovery solutions and as the top-ranked offering in Forrester's Data Resiliency Solutions Wave report. The platform can help organizations meet the requirements of GDPR through features that support data discovery, security, automation, and access controls.
Raise your Brand's Analytics IQ with Salesforce EinsteinGib Bassett
From Salesforce Connections 2019: Advanced analytics like Machine Learning are typically the purview of only large companies with Data Science and Data Engineering teams. Einstein is all about bringing the power of data science to everyone, at scale, and often transparently so you don’t know it’s there working to improve a critical business process. Whether your company has a Chief Data Officer or not, chances are it’s interested in partaking in the AI revolution. Companies that achieve the greatest value from analytics look across their business for improvement opportunities – and Consumer Goods companies are no exception. In this session, see all the use cases enabled by Einstein that help you deliver more seamless and profitable consumer experiences. Take away a plan to chart your own course to raising your company’s analytics IQ with Salesforce!
DMA 2014: 6 Steps to Integrate Your Big DataSameer Khan
The Big Data phenomenon was all about the collection of masses and masses of data: it was a technology challenge. But for most of us, this is no longer a problem – we know how to collect the data – the challenge now is one of processing the data, to make smart data work for us. In this session, IBM’s Sameer Khan will outline an action plan to manage your data and make it smart. He will be ably supported by Andrew Bailey, who will bring his experience with using smart data for integrated marketing campaigns to show you how it is put into action at a company like FedEx.
The Cloudera Impala project is pioneering the next generation of Hadoop capabilities: the convergence of interactive SQL queries with the capacity, scalability, and flexibility of a Hadoop cluster. In this webinar, join Cloudera and MicroStrategy to learn how Impala works, how it is uniquely architected to provide an interactive SQL experience native to Hadoop, and how you can leverage the power of MicroStrategy 9.3.1 to easily tap into more data and make new discoveries.
Big Data Analytics in light of Financial Industry Capgemini
Big data and analytics have the potential to transform economies and competition by delivering new productivity growth. Effective use of big data can increase operating margins over 60% for retailers and save $300 billion in US healthcare and $250 billion in European public sector. Companies that improve decision making through big data have seen a 26% performance improvement over 3 years on average. Emerging technologies like self-driving cars will rely heavily on analyzing vast amounts of real-time sensor data.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Similar to MSTRWorldUS2013_T5_S8_Salesforce-com-and-MicroStrategy (20)
1. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 1
Salesforce.com & MicroStrategy:
Optimize Your Sales, Service and
Marketing Engine
Presented by: David Polley, Anand Ladda
Date: January 30th, 2013
2. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 2
salesforce.com in the Cloud
Salesforce.com has grown to now supporting more than 1 million
subscribers.
3. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 3
Limited in joining data sources in salesforce and external data sets
Slicing, dicing, and drilling through data is limited
User Interface of Salesforce reports and dashboards is fixed. Salesforce does not support pixel perfect
report.
Limited Visual Analysis Capabilitites
Reports cannot be sorted by aggregate columns
Reports cannot have a condition or a limit based upon an aggregate column
Integration of external data sources can be complex and requires moving data to salesforce.
Salesforce.com Reporting Considerations
4. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 4
Access to the Full Power of the MicroStrategy Framework
Data
Services
VLDB-Optimized Multi Pass SQL Engine Optimized MDX Engine Free-form SQL Engine
AdministrativeServices
MicroStrategy Multi-Source
Management
Services
Clustering Security User Resource
Application
Services
Cache Manager Schedule Manager Prompt Manager Diagnostics
MetadataServices
Analytics
Services
OLAP Financial Statistical Custom Date/Time Math String Rank/Tile Conditional Data Mining Logical Comparison
Analytics Function Library
User
Services
MicroStrategy Report Services MicroStrategy OLAP Services Analytics MicroStrategy Distribution Services
Scorecards &
Dashboards
Reporting OLAP
Alerts &
Proactive Notifications
Advanced
Analysis
MicroStrategy Desktop
(Development Only)
MicroStrategy Web MicroStrategy Mobile MicroStrategy Office
MicroStrategy
Transactions
• Performance
• Distribution
• Formatting
• Multi-Source
• Analytics
• Transactions
• Visual Analysis
• Transactions
• Multi-Source
• Ad-Hoc Analysis
5. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 5
Value Proposition Examples
Mutli-source • Access data across multiple sources, including data in the cloud and on-premise
using different interfaces, including ODBC and Web Services into a single report
Advanced Analytics • Multi-pass SQL
• Direct field comparisons in a single table
• Complex calculated expressions in SELECT list
• Sort on multiple columns
• True JOIN and GROUP capabilities
• No restrictions on reports that can comprise dashboards
Superior Visualization • Larger set of highly interactive visualizations
• Many visualizations useful to Salesforce modules such as heat maps
Mobile • Render analytics on mobile devices with write-back capabilities
Actionable Reports • MicroStrategy has the ability to initiate action directly from a report or dashboard
Performance • In memory cubes optimize report performance, even for basic reports
MicroStrategy Platform Value
6. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 6
What can you do with MicroStrategy and Salesforce.com?
Unified Mobile
Apps
Dynamic
Dashboards
Advanced
Analytics
Visual Analysis Alerts
Sales representative
reads from and write-
backs to built-in
(Accounts, Leads,
Contacts,
Opportunities, etc) and
custom
Salesforce.com
objects, all from within
a single mobile app
powered by
MicroStrategy Mobile
VP of Sales starts
with a Dynamic
Dashboard populated
with Opportunity
data. He then drills
into detailed Sales
rep activity report,
that executes in the
EDW
Customer Support
Manager gets a daily
burst of “Open Cases”
for his region. He then
filters the reports to
only look at Open
Cases of Strategic
Accounts (Accounts
that have had high
revenue Opportunities
closed in the last
quarter).
Premium Support Engineer
populates a multidimensional
cache in MicroStrategy with
results of a query from
Salesforce’s Service Module. He
then uses MicroStrategy Visual
Insight’s heat map and other
visualization techniques to spot
accounts with a large number of
high pain cases and other trends.
All this without having to go back
to Salesforce.com
Parameterized report
executes in
Salesforce and
MicroStrategy sends
out exception based
alerts via email to
Sales
representatives to
reveal Opportunities
that don’t include a
specific product, to
maximize up-sell and
cross-sell efforts
7. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 7
Flexible connectivity options support multiple methods to access data
Real Time /extract / or cached
Data Input and output
Fully Integrated with the MicroStrategy Platform
MicroStrategy Connectivity
Approach
Real-Time
Write-Back
DynamicQuery
Generation
Expertise / Tools Required
ODBC ODBC
Web Services XQuery, WebServices, SOQL
ETL Export ETL
8. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 8
How does MicroStrategy Integrate with Salesforce.com
Data Import
Engine
Transaction
Engine
Dynamic SQL
Engine
Report/IntelligentCubeLibrary
1.Import Salesforce.com data
into MicroStrategy in-
memory cubes, by querying
Salesforce.com data model
2.Query Salesforce.com
objects using a modeled
schema in MicroStrategy
3.Query & Update
Salesforce.com data using
MicroStrategy’s Transaction
Services
ODBC/
Web Services
ODBC/
Web Services
ODBC
Report Import
Engine
4.Import Salesforce.com
standard and user defined
reports and visualize in the
cloud.
Web Services
9. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 9
10. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 10
Marketing Cloud
Interactively segment your markets for targeted Campaigns
Salesforce.com report captures Campaign
information
Import Campaign data into MicroStrategy
using Data Import
Use mapping visualization to segment and
identify markets
11. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 11
Service Cloud
Transform your customer experience
Filter to only look at cases for strategic accounts
Drill down to internal HR database for customer
service agent’s contact information
Identify cases for all accounts in a sales rep’s
territory
12. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 12
Sales Cloud
Manage your sales pipeline on the go
Update your forecasts even when “on the move”
Collaborate through Chatter
Evaluate your opportunities by slicing and dicing
along different dimensions
13. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 13
14. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 14
Create a DSN using the ‘MicroStrategy ODBC driver for Salesforce’
Define a MicroStrategy Database Instance using the Salesforce DBMS object
Model Salesforce built-in and custom objects as tables using Architect just like any
other relational data source.
Define reports using the ROLAP model to query data from Salesforce
You can also define Freeform SQL, Query Builder, Data Import and Transaction reports
using the ODBC driver
Use those reports with Desktop, Web, Report Services, OLAP Services, Distribution
Services, Office, etc.
Upon execution the SQL submitted is converted into Salesforce’s Query Language
(SOQL) by the driver and processed against Salesforce.com’s data model
These Tech Notes describe the set-up process for the ODBC driver on Windows
(TN38305 ) and Linux (TN38306)
How do I set-up MicroStrategy’s Integration with
Salesforce.com using ODBC?
15. The Information Contained In This Presentation Is Confidential And Proprietary To MicroStrategy. The Recipient Of This Document Agrees That They Will Not Disclose Its Contents To
Any Third Party Or Otherwise Use This Presentation For Any Purpose Other Than An Evaluation Of MicroStrategy's Business Or Its Offerings. Reproduction or Distribution Is Prohibited. 15
How do I set-up MicroStrategy’s Integration with
Salesforce.com using Web Services?
Define a MicroStrategy Database Instance using the XQuery DBMS object
Define Freeform XQuery reports to query or write-back data to Salesforce
Use those reports with Desktop, Web, Report Services, OLAP Services, Distribution
Services, Transaction Services, Office, etc.
Upon execution the reports communicate with Salesforce.com through its SOAP Web Services
APIs
MicroStrategy 9.2.1m also ships a native web-services connector for Salesforce.
This connector improves upon the pure Freeform Xquery approach of connecting to Salesforce
with built-in logic for authentication, request generation and response processing
The only inputs to this connector are the credentials to connect to Salesforce and the SOQL
query.
TN38307 – Walks through the process of querying Salesforce data using the Salesforce
native connector
TN38308 - Walks through the process of querying Salesforce data using XQuery