Hur kan man förbättra verksamheten med hjälp av data? För de flesta företag ligger den största utmaningen inte i hur man lagrar data utan hur man skapar insikter utifrån dem. Framgångsrika företag använder analys som verktyg för att dra nytta av all sin data. Med analys ser man inte bara vad som hänt utan man får även veta vad som kommer att hända. Det hjälper beslutsfattare på alla nivåer att ta bättre beslut. Affärsanalys är en kritisk framgångsfaktor för ett företag i dagens affärsvärld. Ta chansen att lyssna på Gene Villenueve som berättar om hur IBM kan hjälpa organisationer att bli bättre på analys. Föredraget hålls på engelska/This session will be in english
From Creepy to Cool: Fine Lines in Audience Analyticsgraemeknows
It’s a fine line that marketers can cross in the new era of big data analytics. You can go from “cool” to “creepy” in a blink of an eye if you don’t truly know who you are targeting. And, if they don’t know they are being targeted by you, it can result in disaster. In this energetic and interactive session, we’ll explore the current industry trends in media & entertainment and address the technology and talent barriers marketers face as they work to engage audiences as individuals. We’ll also debate the order of the steps organizations are taking in their analytics journey to discover insights and drive relevance. We’ll ask: where do YOU see “predictive” fitting into the journey and how do you define that particular step? - See more at: http://panelpicker.sxsw.com/vote/22046#sthash.1iQ3IipL.dpuf
The 360 degree view of customer has been around for several years and has become a bit of cliché. The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant. And of course the amount of data available is increasing at an incredible rate. This rate of increase is mirrored inside organizations, many of whom are struggling to leverage new kinds of data and turn them into specific useful information about their customers.
By bringing together technologies like Hadoop and incorporating unstructured data into that traditional single view, and with technologies like Watson explorer we can bring that enhanced 360 in front of the seller, marketer or customer service rep to make the customer’s experience more personalized. This causes them to buy more quicker and be less likely to switch.
IBM z/OS V2R2 Performance and Availability TopicsAnderson Bassani
Apresentação realizada no ITSO z Systems 2015, São Paulo, Brasil, entre os dias 19 e 22 de Outubro de 2015. Apresentação criada pelo time técnico da IBM ITSO.
From Creepy to Cool: Fine Lines in Audience Analyticsgraemeknows
It’s a fine line that marketers can cross in the new era of big data analytics. You can go from “cool” to “creepy” in a blink of an eye if you don’t truly know who you are targeting. And, if they don’t know they are being targeted by you, it can result in disaster. In this energetic and interactive session, we’ll explore the current industry trends in media & entertainment and address the technology and talent barriers marketers face as they work to engage audiences as individuals. We’ll also debate the order of the steps organizations are taking in their analytics journey to discover insights and drive relevance. We’ll ask: where do YOU see “predictive” fitting into the journey and how do you define that particular step? - See more at: http://panelpicker.sxsw.com/vote/22046#sthash.1iQ3IipL.dpuf
The 360 degree view of customer has been around for several years and has become a bit of cliché. The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant. And of course the amount of data available is increasing at an incredible rate. This rate of increase is mirrored inside organizations, many of whom are struggling to leverage new kinds of data and turn them into specific useful information about their customers.
By bringing together technologies like Hadoop and incorporating unstructured data into that traditional single view, and with technologies like Watson explorer we can bring that enhanced 360 in front of the seller, marketer or customer service rep to make the customer’s experience more personalized. This causes them to buy more quicker and be less likely to switch.
IBM z/OS V2R2 Performance and Availability TopicsAnderson Bassani
Apresentação realizada no ITSO z Systems 2015, São Paulo, Brasil, entre os dias 19 e 22 de Outubro de 2015. Apresentação criada pelo time técnico da IBM ITSO.
Apresentação realizada durante IBM ITSO z Systems world tour 2015, em São Paulo, Brasil, entre os dias 16 e 22 de Outubro de 2015. Apresentação criada pelo time técnico IBM ITSO.
Improving Software Delivery with Software Defined Environments (IBM Interconn...Michael Elder
How will you change the way your company delivers high quality customer experiences?
As market dynamics have shifted requiring faster deliveries and greater innovation, most companies are challenged to keep up with the pace. Cultural movements like DevOps and technology shifts like Software Defined Environments offer you the opportunity to deliver greater business value for your end users.
In this talk, we’ll teach you how to leverage UrbanCode Deploy with Patterns to design reusable, portable Heat-based templates which capture all of the elements of your application workload to deploy against OpenStack, Amazon, or VMWare vCenter. We’ll also cover some advanced topics like capturing templates which allow autoscaling, load balancing, and other policies as part of your workload blueprint.
So come learn how you can make your experience as an integrator, specialist, or developer better while simultaneously helping your end users.
We find ourselves in the most global and unpredictable economy in history. Customer expectations turn on a dime, and competitors emerge from the most unexpected places. Success depends on our ability to quickly form teams that can operate with agility that are empowered to make the right decisions.
Today’s teams need to collaborate across business units and timezones, quickly find and share relevant information, understand what their teammates are working on and minimize the constant distractions from tools, meetings, and co-workers. Join us to see how IBM is using a lean approach combined with Design Thinking to team with our users to solve this problem to take teamwork to the next level.
Social Connections VI -- Customizing Connections Profiles to Provide a Compan...Martin Leyrer
Connections and especially Connections Profiles are very customizable. I will show you, based on the work my colleagues and I did for a customer, why, what and how you can customize the TDI assembly lines and the Connections Profiles user interface to provide your customers with a profiles experience adapted to their expectations (including leading and trailing titles, customized hierarchy trees, additional fields, imported rich text, etc.).
Following is a quick tip from the AD208 : End-to-End Quality Processes for Top Notch XPages Apps session from IBM Connect 2014. In the tip, speakers Martin Donnelly, Brian Gleeson, and Padraic Edwards cover XPages accessibility for the latest WCAG 2.0 and Section 508 standards, including why you should care about it, tools to get started, and guidelines and best practices.
Desvendando o desenvolvimento seguro de softwareAllyson Chiarini
O mundo atual está vivendo uma revolução no quesito aplicações onde cada vez mais temos temas como mobilidade, big data e consumerização, neste contexto a segurança da informação tem papel fundamental para garantir a mitigação de risco de exposição de informações. Atualmente o tema espionagem corporativa ou política está em volga devido ao caso NSA, ou seja, estamos vivendo uma época onde o tema segurança é de vital importância para as corporações. Com uma curva crescente de demanda por novas aplicações atualmente a área de desenvolvimento é forçada a entregar as aplicações em tempo cada vez menor, levando em consideração isso para otimização de esforço no ciclo de desenvolvimento se faz necessário adotar soluções que mitiguem o risco de segurança de informação em tempo de desenvolvimento. A família AppScan vem para endereçar este ponto, onde ela além de otimizar o processo de testes na disciplina de segurança de informação ela garante uma constante atualização em relação as ameaças correntes.
This session covers IBM's various storage solutions for Artificial Intelligence and Big Data Analytics workloads. Presented at IBM TechU in Johannesburg, South Africa September 2019
IBM UrbanCode Deploy and VMware Integrated OpenStackBradDesAulniers2
Automate your application deployment with IBM UrbanCode Deploy and the VMware Integrated OpenStack in SoftLayer. The orchestrator allows autoscaling in the VMware environment.
Big Data Expo 2015 - IBM Outside the comfort zoneBigDataExpo
When it comes to high tech, we tend to wear blinders. We only want to see what's right in front of us. At times, we look forward but we rarely look around us to see how other industries are succeeding. This is especially true with organizations who want to look beyond business intelligence and reveal answers you never thought to ask. For example, what would demand forecasting for a Chief Marketing Officer in Media & Entertainment mean to a Chief Data Officer in banking? Or what would Customer Operations Transformation in Energy & Utilities mean to a Chief Customer Officer at a major retail operation? In this interactive and energetic session, we'll explore valuable cross-industry use cases to help get you "outside your comfort zone" and take a completely different look at how applications of advanced and predictive analytics on big data - or any data - can help you to act on real-time insights to fundamentally transform your business.
Apresentação realizada durante IBM ITSO z Systems world tour 2015, em São Paulo, Brasil, entre os dias 16 e 22 de Outubro de 2015. Apresentação criada pelo time técnico IBM ITSO.
Improving Software Delivery with Software Defined Environments (IBM Interconn...Michael Elder
How will you change the way your company delivers high quality customer experiences?
As market dynamics have shifted requiring faster deliveries and greater innovation, most companies are challenged to keep up with the pace. Cultural movements like DevOps and technology shifts like Software Defined Environments offer you the opportunity to deliver greater business value for your end users.
In this talk, we’ll teach you how to leverage UrbanCode Deploy with Patterns to design reusable, portable Heat-based templates which capture all of the elements of your application workload to deploy against OpenStack, Amazon, or VMWare vCenter. We’ll also cover some advanced topics like capturing templates which allow autoscaling, load balancing, and other policies as part of your workload blueprint.
So come learn how you can make your experience as an integrator, specialist, or developer better while simultaneously helping your end users.
We find ourselves in the most global and unpredictable economy in history. Customer expectations turn on a dime, and competitors emerge from the most unexpected places. Success depends on our ability to quickly form teams that can operate with agility that are empowered to make the right decisions.
Today’s teams need to collaborate across business units and timezones, quickly find and share relevant information, understand what their teammates are working on and minimize the constant distractions from tools, meetings, and co-workers. Join us to see how IBM is using a lean approach combined with Design Thinking to team with our users to solve this problem to take teamwork to the next level.
Social Connections VI -- Customizing Connections Profiles to Provide a Compan...Martin Leyrer
Connections and especially Connections Profiles are very customizable. I will show you, based on the work my colleagues and I did for a customer, why, what and how you can customize the TDI assembly lines and the Connections Profiles user interface to provide your customers with a profiles experience adapted to their expectations (including leading and trailing titles, customized hierarchy trees, additional fields, imported rich text, etc.).
Following is a quick tip from the AD208 : End-to-End Quality Processes for Top Notch XPages Apps session from IBM Connect 2014. In the tip, speakers Martin Donnelly, Brian Gleeson, and Padraic Edwards cover XPages accessibility for the latest WCAG 2.0 and Section 508 standards, including why you should care about it, tools to get started, and guidelines and best practices.
Desvendando o desenvolvimento seguro de softwareAllyson Chiarini
O mundo atual está vivendo uma revolução no quesito aplicações onde cada vez mais temos temas como mobilidade, big data e consumerização, neste contexto a segurança da informação tem papel fundamental para garantir a mitigação de risco de exposição de informações. Atualmente o tema espionagem corporativa ou política está em volga devido ao caso NSA, ou seja, estamos vivendo uma época onde o tema segurança é de vital importância para as corporações. Com uma curva crescente de demanda por novas aplicações atualmente a área de desenvolvimento é forçada a entregar as aplicações em tempo cada vez menor, levando em consideração isso para otimização de esforço no ciclo de desenvolvimento se faz necessário adotar soluções que mitiguem o risco de segurança de informação em tempo de desenvolvimento. A família AppScan vem para endereçar este ponto, onde ela além de otimizar o processo de testes na disciplina de segurança de informação ela garante uma constante atualização em relação as ameaças correntes.
This session covers IBM's various storage solutions for Artificial Intelligence and Big Data Analytics workloads. Presented at IBM TechU in Johannesburg, South Africa September 2019
IBM UrbanCode Deploy and VMware Integrated OpenStackBradDesAulniers2
Automate your application deployment with IBM UrbanCode Deploy and the VMware Integrated OpenStack in SoftLayer. The orchestrator allows autoscaling in the VMware environment.
Big Data Expo 2015 - IBM Outside the comfort zoneBigDataExpo
When it comes to high tech, we tend to wear blinders. We only want to see what's right in front of us. At times, we look forward but we rarely look around us to see how other industries are succeeding. This is especially true with organizations who want to look beyond business intelligence and reveal answers you never thought to ask. For example, what would demand forecasting for a Chief Marketing Officer in Media & Entertainment mean to a Chief Data Officer in banking? Or what would Customer Operations Transformation in Energy & Utilities mean to a Chief Customer Officer at a major retail operation? In this interactive and energetic session, we'll explore valuable cross-industry use cases to help get you "outside your comfort zone" and take a completely different look at how applications of advanced and predictive analytics on big data - or any data - can help you to act on real-time insights to fundamentally transform your business.
A Text Analytics Marketscape (from Strata NY 2014)Tina Groves
Originally presented at Strata New York, under different title. http://strataconf.com/stratany2014/public/schedule/detail/37787
“Variety” represents a range of data challenges, from parsing text in a log file to using linguist processing to derive the sentiment in citizen complaints. Programming or “the build option” is one approach. However, as the need to process more text, in more contexts, often for more languages, programming limits the agility of an organization. This session will describe the kinds of tools and solutions available in the market to tap into text sources.
NOTE: The referenced demos are not included in this PDF. A future update will be a recording in order to include the three demonstrations.
Building intelligent APIs - Andy Thurai, IBMPAPIs.io
The birth of a sophisticated Internet of Things has catapulted hybrid data collection, which mixes structured and unstructured data, to new heights. The goal with any analytics software is to find and improve better data sets rather than spending time in identifying, prepping, cleaning, and preparing the data. Not only is predicting and prescribing an action anticipating a future issue desired, but if the action is ignored then a forward thinking automatic adoption should suggest an advanced course correction based on previous action items not acted upon. Predictive analytics algorithms should recalibrate themselves. As the incoming data evolves, so do the algorithms – they must re-fit, re-predict and re-prescribe.
Andy Thurai, Program Director at IBM (API, IoT and Connected Cloud), discusses how the time has come for machines and humans to work together to make each other smarter. The combination of APIs, IoTs, big data, smarter analytics, and cognitive computing is transforming the way we see the future — and more importantly, what we do about it.
Improve Predictability & Efficiency with Kanban Metrics using IBM Rational In...Marc Nehme
This presentation discusses IBM Rational Insight and how it was leveraged to provide reports with metrics supporting the adoption of the Kanban Method, by teams using IBM Rational Team Concert.
Spark working with a Cloud IDE: Notebook/Shiny AppsData Con LA
Abstract:-
The Problem: Energy inefficiency within public/private buildings in the City of New York.
The Goal: Take meter(Sensor) data, solve the inefficiencies through better insights.
The Solution: Visualization and Reporting through the Shiny App to gain knowledge in past, and present usage patterns. In addition to those patterns, compare and gain insights/predictions on energy usage.
Spark's Dataframes and RDD's will be used in concert with panda (library) to clean and model/prepare data for the R Shiny App. The message to convey in this meetup discussion is to show the capabilities of Spark while using DSX and RStudio/Shiny App to create visualization/reporting that will be able to give insights to the end user.
There are a few techniques that we will present in this notebook with both modeling and ML: Linear Regression, K-Means clustering for identifying inefficient buildings, (Statistical) Classification Modeling, followed by a confusion matrix (error matrices).
Bio:-
Thomas Liakos has been an Open Source Systems Engineer for 11 years and he has 8 years of experience in Cloud and hybrid environments. Prior to IBM Thomas was at Gem.co: Sr. Systems Architect. and CrowdStrike: DevOps / Systems Engineer - Cloud Operations. Thomas has expertise in Spark, Python, Systems and Configuration Management, Architecture, Data Warehousing, and Data Engineering.
[IBM Pulse 2014] #1579 DevOps Technical Strategy and RoadmapDaniel Berg
Hey everyone. Here is the presentation that I had the pleasure of presenting the following deck with Maciej Zawadzki and Ruth Willenborg describing IBM's technical strategy and roadmap.
Enjoy!!!
Do you want your administration day even easier? Are you aware of the free code snippets, tools and products you could be using in your arsenal? This session will fly through as many of them as we can in sixty minutes. Screenshots, demos and a nice bundled list of where to get them all. Just in case we can't fit them all in!
Examples are Domino server console shortcuts, Sametime buddylist management, LDAP verification, improved search tools within your Notes client and even more. I don't want to give all the hints away here.
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Bemanningsplanering axfood och houston finalIBM Sverige
Automatiserad budgetering – låt matematiken göra grovgörat för att säkerställa en optimerad bemanning
Talare: Niklas Westerholm, Axfood & Robert Moberg, Chief Analyst, Houston Analytics
Presentation från Watson Kista Summit 2018
File share and sync (bara) är så 2017!
Att dela filer bekvämt och säkert var bara början. Box har gått vidare till att integrera delade filer i applikationer och processflöden, och revolutionera både internt och externt arbete. Hur kan det revolutionera för dig?
Talare: Jan Hygstedt, Director Nordic, Box
Presentation från Watson Kista Summit 2018
Watson kista summit 2018 en bättre arbetsdag för de många människornaIBM Sverige
Först tvingades vi anpassa oss efter datorerna. Sedan använde vi dem för att samarbeta med varandra. Nu är det dags för datorerna att förstå oss. Vad innebär det för vår arbetsvardag?
Talare och moderator: Peter Bjellerup, Executive Consultant - Social Business, Collaboration & Knowledge Sharing, IBM
Presentation från Watson Kista Summit 2018
Iwcs and cisco watson kista summit 2018 v2IBM Sverige
Samarbeta både över tid och i realtid
Cisco Spark och IBM Connections – tillsammans! Kombinera ledaren för konversationer i realtid – text, video, individuellt och i team med branschledaren sedan sju år för internt samarbete, transparens och nätverk.
Talare: Bo Holtemann, Solution Specialist, IBM Collaboration Solutions
Presentation från Watson Kista Summit 2018
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal
without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product
direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or
legal obligation to deliver any material, code or functionality. Information about potential future
products may not be incorporated into any contract. The development, release, and timing of any
future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a
controlled environment. The actual throughput or performance that any user will experience will
vary depending upon many factors, including considerations such as the amount of
multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and
the workload processed. Therefore, no assurance can be given that an individual user will achieve
results similar to those stated here.
First, let me give you the top-line IBM perspective: IBM’s strategic imperatives---
Stressing TRANSFORMING INDUSTRIES AND PROFESSIONS WITH DATA. (Not
Systems of Insight drive new value
We have arrived at a tipping point moment where data is available at such a scale that analytics can be applied to solve problems and yield real-time results where it was never before possible.
By creating Systems of Insight, which lie at the intersection of Data, Cloud and Engagement, every decision, interaction and process can now be fueled by data and advanced analytics – faster and in a much more personalized fashion.
While the codification of business logic into applications and processes with enterprise solutions such as ERP and CRM got us so far, Systems of Insight represent the next wave of value creation in business today. They enable leading organizations that are committed to a data-driven transformation to act on insight from data and do that at lightning speed, in the business moment.
Systems of Insight fueling business process innovation and enable individuals to work the way they want and be more right, more often, helping to transform industries, professions and roles in the newly emerging Insight Economy.
Organizations want:
To put all of data to work
Flexibility and choice
Everywhere, anytime access
The world is changing, what do we as individuals see differently now?
Expectations are increasing: At work and at home, we expect technology to deliver immediate access to the information we seek. As the lines between our personal and work lives blur, we’re expected to know more, understand more and do more. If the technology we use doesn't provide value immediately, we simply drop it and move on to the next thing.
Make better decisions faster: We live and work at a relentless pace, and we’ve never been more connected to the people, brands and information that matter to us most. With the intense speed of business today, time—or more clearly, our “return on time”—has become a primary currency by which many measure value. Making better decisions rapidly is no longer a goal; it’s an imperative. We must shrink the time to informed action, which requires us to deliver more than just faster answers; it demands that we identify the right questions to ask.
Do it yourself thinking: We’ve become a global society that practices independent investigation and pervasive learning. Have a question? Get an answer…quickly, simply, and on your own. The data is there, and so are the technologies that make it easy to identify, explore, verify and share that information. This freedom breeds creativity in how we approach problem-solving, even as it fuels expectations that we can consistently deliver fast, correct action.
Even a simple analytics project has multiple steps and people. Projects require multiple steps in order facilitate and adhere to the policies or practices that are important to the business process. However its rarely straight forward and does not address the needs of rapid and agile data exploration and discovery.
Projects require multiple steps like accessing and obtaining data. Business units and individuals from IT and departmental analysts are needed to manage and prepare trusted and governed data sources. Providing this data to Analysts takes time and resources. Validation of this data is critical to avoid errors and poor decision making before the data is reviewed and approved for its original intent. If the data is wrong then the reporting will be wrong and decisions will be inadequate.
Introducing IBM Watson Analytics.
We have arrived at a tipping point where the abundance of data, emergence of cloud, advances in analytics, new user experience design and business models mean data-driven decisions can now be an essential, daily and valuable activity for business people. No longer just for data scientists or IT -- marketing, sales, operations, finance and HR professionals can gain answers they need from all types of data. This requires a revolution in analytics technology, helping people acquire refined, trusted data, discover insights, predict outcomes, visualize results, create reports, and collaborate with others in a unified user experience that speaks the language of business. Watson Analytics is such a revolution - a revolution in the techniques themselves and a further revolution in the convergence of all these technologies together. The result will be widespread adoption of advanced analytics in the business world.
IBM Watson Analytics delivers a unified analytics experience on the cloud and helps you focus on the drivers that matter most in your business. By automating the steps of data access and refinement, predictive analysis, and visual storytelling, Watson Analytics immediately identifies and explains hidden patterns and relationships to accelerate your understanding of why things happened and what's likely to happen. Because Watson Analytics features natural language dialogue, you can ask the right questions and get results in the familiar terms of your business. Just as the first spreadsheet made financial calculations easier for anyone with a PC, Watson Analytics opens up the world of advanced analytics to all business users on the cloud.
Marketecture diagram:
Think ahead
Watson Analytics automatically does the hard math to show you the most relevant facts, patterns and relationships. See not only what is likely to happen but also what you can do about it.
Make more informed decisions to move your business forward.
Tell a story
Watson Analytics shows you the most brilliant way to make your point. Quickly create clear and compelling infographics to get others on your side.
Ask questions and receive answers in the language you use in your business.
Understand your business
Watson Analytics brings an engaging analytics experience in conversational terms you can understand. Whether you have a question to answer, an assumption to test or you are not sure what you want, Watson Analytics has you covered.
Tell a clear, insightful story through rich data visualization.
Get better data
Watson Analytics helps you find and improve data sets with the touch of a button. You can get to work quickly instead of spending precious time cleaning up and preparing your data.
Take advantage of automation — from data preparation to analysis.
Who is Watson Analytics for?
Watson Analytics offers self-service capabilities to the full range of business users and experts alike:
-Individual Business Users, like sales operations, marketing programs managers, financial analysts, or operations managers, who are looking to better understand the data relevant to their job roles;
-Business Analysts, whose jobs are centered around processing information for the organization, and who want to go beyond measuring and start understanding, but don’t have ready access to advanced analysts such as data scientists, statisticians, data miners, or BI architects; and
-Data Scientists themselves who can spend 40-80% of their time on data access and refinement. Watson Analytics can be an accelerator for them.
-IT, who can deliver improvements in productivity to business users without having to support multiple solutions, ungoverned data sources, or rogue data analysis projects.
What issue or opportunities does Watson Analytics address?
The world and the way people work are changing:
Departmental experts and analysts are expected to drive better data-driven decisions, but lack the breadth of advanced skills needed for data management, building predictive models, and effectively communicating the correct conclusions.
Making quality decisions rapidly is no longer a goal; it’s an imperative. Reducing the time to informed action requires a streamlined ability to draw compelling conclusions without reliance on too many people and the need to leverage multiple disparate tools.
Self-service is increasingly becoming more important as business users are pressured and motivated to quickly find answers on their own.
Self-service needs are increasing, but IT is concerned about maintaining corporate data governance standards.
The expectation of today’s workforce is that they can access and analyze their data anytime, anywhere. And then getting insights to all stakeholders quickly is critical to delivering fast, correct action.
Watson Analytics can be used for a wide variety of business use cases. Here are just a few examples such as:
Finance
Account Receivable Prioritization: Leverage Watson Analytics for collections. Organization can optimally determine their customers least likely to pay to most likely and prioritize their outreach and communication to align with their collections goals and objectives. By identifying the right customers to contact (and through which channel) organizations can improve operational efficiency and recover more money: a bottom line affect on income.
HR
Employee Retention: Provide insight into workforce and human resource issues. Human Resource analysts can uncover predictive factors driving employee attrition allowing you to intervene and take appropriate action.
IT
Help Desk Activity Analysis: Analyze the IT help desk tickets in your organization. See how long tickets have been open, what the average response time is, and understand what the key drivers are of high priority tickets to help determine how to allocate resources to resolve tickets faster.
Marketing
Lead Prioritization: Increase the quality of leads in your sales pipeline by discovering the driving factors of leads that resulted in successful sales. Target leads and prospects that will have a higher likelihood of becoming a sale to boost revenue and reduce costs by not spending time and resources on leads with little chance of becoming a sale.
Customer Value Analysis: Customer growth improves overall profitability of the business and drives increased customer value and loyalty, delivering value-added products and services to an organization’s existing customer base. This is accomplished by first discovering the attributes that drive profitability, identifying what customers meet the identified profitable profiles, and then proactively providing those customers with highly targeted recommendations across all customer interaction channels to drive an increase in conversions and customer profitability
Campaign Prediction and Planning: Improve effectiveness and efficiency in marketing departments by predicting which customers will respond to various campaigns. Predictive analytics provides value by increasing the quality of leads and the likelihood of response while reducing costs by efficiently targeting the customer through the right channel with the right offer at the right time.
Operations
Warranty Claims Analysis: Analyze returns and predict upcoming warranty costs and issues, as well as determine potential fraudulent warranty claims. Increase the effectiveness of claims and warranty departments by improving the bottom line, decreasing costs, and enhancing supplier relationships.
Sales
Win/Loss Prediction: Analyze your sales pipeline and predict with confidence which deals have the highest chance of closing and those you’re at risk of losing to allocate resources effectively. Anticipate performance gaps in your sales pipeline, analyze current conditions and alternatives, and then optimize outcomes for predictable sales performance.
Customer Retention: Predict which customers will leave and present customers' level of risk. Watson Analytics provides value by increasing customer retention and increasing the effectiveness of customer retention programs by targeting those customers most at risk of leaving.
What are the features of Watson Analytics
Self-service for Business Users
Watson Analytics removes the reliance on DBAs, Statisticians, Report Authors or other specialists to do analysis. Its intuitive interface and unique automation of data access and refinement, advanced analytics and visual storytelling empowers business users to do more by themselves, like having a Data Scientist in a Box. Start anywhere, and let your curiosity take you wherever you want to go. Watson Analytics suggests where you might want to go next, progressively exposing you to additional capabilities you might want to leverage to gain a deeper understanding of your business.
Differentiator
Business users want a consumer-like experience to use analytics and data to pursue ideas, get answers to all types of questions, make predictions, and communicate compelling recommendations without needing help from anyone. However, they are hampered by the usability of analytics tools, access to data that can be trusted, and dependency on others – both IT to provide the infrastructure and data scientists to provide the analytical expertise. With Watson Analytics, data-driven decisions can now be an essential, daily and interesting activity for business people.
Data Discovery
Watson Analytics lets you visually explore and interact with your data to find the obvious patterns and derive useful insights.
Guided Analytic Discovery
Watson Analytics features the use of predictive analytics to surface the most relevant facts and uncover unforeseen patterns and relationships. This sparks the right questions to ask and directs your attention to the parts of their business that matter most.
Differentiator
Most discovery solutions expect you to decide what’s important in your data for further analysis. Watson Analytics lets you explore as well, but often business users aren’t sure what type of analysis would be the most meaningful. Watson Analytics automatically surfaces what matters most in your business. You can then use that insight to guide your analysis.
Cloud-based Agility
Watson Analytics is available anytime, anywhere on the cloud.
Mobile-ready
Watson Analytics is optimized for tablet devices for analysis on-the-go.
Natural Language Dialogue
Watson Analytics speaks the language of your business. Simply type in what you would like to see and Watson Analytics produces comprehensive results that explain why things happened and what's likely to happen, all in the familiar terms of your business. And as you interact with the results, you can continuously fine-tune your questions to get to the heart of the matter.
Differentiator
Other offerings expect you to adapt to the software – speaking in some form of programming language. Watson Analytics lets you carry on a natural, iterative dialog using the terms that are meaningful to your business.
What are the features of Watson Analytics
Single analytics experience
Watson Analytics brings together a complete set of self-service analytics capabilities on the cloud. You bring your problem, and Watson Analytics helps you acquire the data, cleanse it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others.
Differentiator
Unlike other offerings that make you decide what type of analytics you want to do, and then select separate tools to accomplish it, Watson Analytics is a seamless, unified experience that lets you go where your ideas take you. For example, you can move seamlessly from discovery to predictive analysis – without changing user interfaces or losing work.
Fully automated intelligence
Just bring your data, and Watson Analytics will do the rest. By automating all the steps of data preparation, predictive analytics, and visual storytelling, Watson Analytics jumpstarts your analysis and accelerates your time to value. It immediately starts you off with a visual story that illustrates what you need to know. Instead of fumbling over data or searching for answers, you can focus on understanding your business and effectively communicating results to stakeholders.
Differentiator
Most analytic offerings assume you have data ready for analysis, a clear idea of the type of analysis you want to do, and the skills and time to build a model for analysis. However, most business users have none of these things. Data prep and loading can represent 60% or more of the time in an analysis project. Business users can spend a lot of time figuring out what analysis would be relevant and how to tell the story in a report or diagram. Watson Analytics automates these steps to accelerate your ability to get to the answers you’re seeking.
Data Access & Refinement
Watson Analytics automatically shapes and joins data and then uniquely scores the readiness of your data for analysis, highlighting potential data issues that could compromise results....(access to data, data shaping, data quality/cleansing, data masking)
Integrated Social Business
Watson Analytics help you to quickly and securely build consensus around your data-driven analytical findings. Overcome analysis paralysis by collaborating with all stakeholders to share, discuss, combine and build the evidence necessary to move forward on decisions.
Reporting & Dashboarding
Watson Analytics takes the guesswork out of how to best show what's important in your data and automatically recommends the most effective visualization to convey the results you are looking for. With a few clicks, users can further alter chart types and data to fully customize the interactive reports and dashboards to meet the needs of the business.
Visual Storytelling
Watson Analytics helps users to quickly consolidate and annotate key visualizations into powerful infographics to elegantly and effectively convey results to stakeholders.
Learn more about IBM Watson Analytics at WatsonAnalytics.com. Visit the site to get started with Watson Analytics for free. Register to access Watson Analytics on the cloud. Watch demos and how to videos, read content and talk to our experts through our community forum.
Four key takeaway points:
Watson Analytics brings together a complete set of self-service analytics capabilities on the cloud. You bring your problem, and Watson Analytics helps you acquire the data, cleanse it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others.
Just bring your data, and Watson Analytics will do the rest. By automating all the steps of data access and refinement, predictive analytics, and visual storytelling, Watson Analytics jumpstarts your analysis and accelerates your time to value. It immediately starts you off with a visual story that illustrates what you need to know. Instead of fumbling over data or searching for answers, you can focus on understanding your business and effectively communicating results to stakeholders.
Watson Analytics speaks the language of your business. Simply type in what you would like to see and Watson Analytics produces comprehensive results that explain why things happened and what's likely to happen, all in the familiar terms of your business. And as you interact with the results, you can continuously fine-tune your questions to get to the heart of the matter.
Watson Analytics features the use of predictive analytics to surface the most relevant facts and uncover unforeseen patterns and relationships. This sparks the right questions to ask and directs your attention to the parts of their business that matter most.