Customer Case Studies of Self-Service Big Data Analytics
In the new world of big data, analysts are challenged to ask questions that were never possible before. Self-service tools empowers business users to rapidly gather, analyze and visualize data from board, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free-up your IT staff so they no longer have the need to response to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities.
In this session you will learn:
-Customer examples and return on investment from self-service big data analytics
-How business analysts can take advantage of Machine Learning
-Best practices in self-service big data analytics
RecordedFeb 19 201444 mins
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panelists from McKinsey & Company, S & P Global and AirBNB
No institution wants the fines or bad publicity for supporting money laundering or financing to terrorist or criminal organizations. How can firms deliver an AML reporting and compliance process that delivers comprehensive analytic results and can evolve with changing regulations?
Watch our on-demand webinar to hear our panel of industry thought-leaders from McKinsey, Airbnb, S&P Global and Datameer as they explore:
--The business challenges firms face in dealing with constantly evolving AML regulations
--Best practices used by firms to implement comprehensive AML processes
--Analytic solutions that make AML compliance processes faster and more effective
Dr. Fritz Schinkel, Head of Fujitsu's Big Data Competence Center
The German Cancer Research Center (DKFZ) uses self-service big data analytics to radically improve the genomic research process. Their new insights have allowed them to identify better treatment plans for cancer patients.
During this one-hour on-demand webinar, Dr. Fritz Schinkel, head of Fujitsu’s Big Data Competence Center and a Fujitsu Distinguished Engineer, discusses how the combined Datameer and Fujitsu platform helps the DKFZ:
--Perform deeper analysis on raw datasets representing millions of genomic positions without requiring data reduction techniques that can compromise results
--Dramatically reduce the time it takes to analyze raw genomic datasets for each patient to speed creating patient treatments
Sean Anderson Senior Product Marketing Manager Cloudera, John Morrell, Senior Director Product Marketing, Datameer
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business.
Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.
Neil Raden, Hired Brains and Andrew Brust, Datameer
The BI landscape has evolved from one led by IT into one now led by the business user. This means, data architectures are now built on the fly as potentially interesting data is sourced and models are driven from the data. As a result of the new roles, implications need to be understood by all parties prior to investing in a big data solution.
Join us for this webinar, 10 Questions to Align Your Big Data Project with Business Requirements, as Neil Raden, CEO and Principal Analyst at Hired Brains and Andrew Brust, Datameer's Senior Director of Market Strategy and Intelligence, discuss the top 10 questions to consider such as:
- Why alignment with the business matters?
- What will you do with the analytic results?
- How do you measure success?
Hadoop is changing. Despite being Big Data’s poster child for the last several years, changes to Hadoop's architecture mean it can now work for small data too. Data volumes aside, Hadoop is becoming defined more by ecosystem tools that are compatible with its file system and less by its own processing and management capabilities.
Datameer makes big data analytics simple. Datameer gives users a unified, self-service environment to integrate, prepare, analyze, visualize, and operationalize big data analytics. Hundreds of customers, including CIOs, CMOs, CTOs, doctors, scientists, law enforcement officials, and even Olympic athletes all rely on Datameer to help them get from raw data to insight faster than ever. Datameer combines Hadoop’s unlimited storage and compute power with a common spreadsheet interface and powerful functionality, quickly transforming businesses into agile, data-driven organizations.
Una Visión Única del Ciudadano (Master Data Management o Visión 360º) permite que todos los sistemas operacionales y los procesos empresariales
compartan datos fiables y coherentes.
Tales proyectos tienen un impacto directo en la calidad de los servicios que los ciudadanos reciben, así como en la optimización de los procesos internos, con la consiguiente reducción de costes. Por ejemplo, una visión única del contribuyente permitirá eliminar reembolso a contribuyentes duplicados, y detectar el fraude.
Esta visión estratégica está ganando terreno en el sector público conforme sus instituciones se afanan por unificar la información relativa a ciudadanos, procesos y sistemas.
Pero generalmente esos proyectos se abordan desde una visión muy tecnológica, de gran envergadura y coste elevado, con resultado a largo plazo, de ahí que las organizaciones sean reticentes a abordarlos.
En este webcast al cual Information Builders tiene el placer de invitarles, podrá ver cómo abordar un proyecto MDM desde otra óptica.
Learn how to reduce costs and drive efficiencies with Microsoft Azure!
The partnership between Microsoft and SAP benefits our enterprise customers every day. With over 50% of our enterprise customers running SAP for their core ERP systems, Microsoft and SAP have made significant investments helping our joint customers realize the benefits of our collaboration.
Join this webcast to learn how to reduce costs and drive efficiencies with Microsoft's roadmap for HANA on Azure. You'll discover why these customers have realized significant productivity gains, as well as 30-50% cost savings, from our investments in 3 key areas:
•Productivity: Full integration from SAP NetWeaver to Microsoft Office and Outlook with Single Sign-On
•Analytics: Rich visualizations in Microsoft Excel and Power BI solutions through native connectors from SAP Business Warehouse (BW) and HANA
•Infrastructure: Over 400 customers are taking advantage of the Azure (Microsoft Public Cloud) certification for all NetWeaver-based databases and HANA for production and non-production systems
From game consoles to supercomputers and now the datacenter, GPUs are permeating more and more of the computing ecosystem. By boasting order of magnitude performance improvements on key tasks and exhibiting massive cost of ownership advancements these once specialized chips are writing a new chapter in enterprise computing.
Sam Madden, professor at MIT's Computer Science and AI Lab, will cover the evolution of compute and why it impacts databases along the dimensions of speed, memory and scalability. Madden will detail those insights with a case study from Cambridge Telematics where he is a founder and the Chief Scientist.
The evolution of compute, particularly GPUs, needs software to harness its promise. The second part of the webinar will feature one of Sam’s former students, founder and CEO of MapD, Todd Mostak.
Todd will address what software optimizations MapD has employed to harness the parallel processing power of GPUs: LLVM, backend rendering, and memory management. There will be a live product demonstration using the 1.1B row NYC taxi/limo/uber dataset.
The financial crisis brought about huge losses to a large number of financial institutions and exposed many of the internal inefficiencies leveraged to manage risk and data within and across divisions. Today, things have changed dramatically. Despite the many regulatory changes over the years, marketplace lenders have been extremely successful implementing predictive modeling and data aggregation to assess consumers’ and small businesses’ financial health.
New lending technologies allow lenders to improve customer satisfaction by creating a personalized and unique customer experience. By taking into consideration personal, transactional, application, and product-selection data from financial institutions, lenders are able to leverage this data for other opportunities such as cross-selling credit products during the loan-application process. These innovations ultimately provide borrowers with an intuitive and simplified borrowing process.
In this webinar you’ll:
* Get insight into the trends and opportunities driving change in the lending and credit risk management industries
* Explore more accurate predictive ratings models based on alternative data sets
* Discover the future of commercial retail lending and credit risk management
* Learn how to improve credit decisions, collections, and portfolio management using new technologies and data analytics
* Spencer Robinson, Head of Strategy, Kabbage
* Sherif Hassan, Founding CEO, Herio Capital
* Saurabh Sharma, Founder and CEO, Indus Insights
* Terry McKeown, Practice Manager, Credit Analytics, Envestnet | Yodlee
* Evan Schuman, Moderator, VentureBeat
Join us on September 22nd at 10 am PT/1 pm ET for an exciting FREE discussion on the trends and opportunities driving change in lending and credit risk management.
Hadoop didn’t disrupt the data center. The exploding amounts of data did. But, let’s face it, if you can’t move your data to Hadoop, then you can’t use it in Hadoop. Join the experts from Hortonworks, the #1 leader in Hadoop development, and Attunity, a leading data management software provider, for a webinar where you’ll learn:
-How to ingest your most valuable data into Hadoop using Attunity Replicate
-About how customers are using Hortonworks DataFlow (HDF) powered by Apache NiFi
-How to combine the real-time change data capture (CDC) technology with connected data platforms from Hortonworks
We will discuss how Attunity Replicate and Hortonworks Data Flow (HDF) work together to move data into Hadoop. And, there will be a live question & answer session.
Hadoop is a wonderful framework that can drive insight into a range of problems, but administrators can be blind to performance, utilization and cost issues of cluster deployments. There’s risk in sizing initial deployments properly, as well as determining optimal capacity over time. Without sufficient visibility, job performance can suffer and costs can escalate. Keeping a critical resource running effectively and being able to plan for the future requires intelligent decision making capabilities that many Hadoop deployments lack. This webinar will look into common problems that affect clusters and ways to detect issues early and head off long term problems. We’ll dig into capacity management and ways to deal with ever increasing demands for Hadoop resources.
• Understand initial deployment challenges
• Handling cluster growth
• Working to meet increasing pressure on storage and job density
• Planning for capacity growth and extension to cloud
Presented by IoT expert, Bill Roberts, this webinar explores how the Industrial Internet of Things (IIoT) is having a dramatic impact on how manufacturers and service providers operate. From the factory floor to a distributed energy generation facility to anywhere a critical piece of equipment operates, machine data holds enormous potential to drive high levels of operational efficiency and unlock new service innovations. This blending of operational technologies (OT) with Information Technology (IT) has created challenges with the data, the analytics lifecycle and a deep thinking into the roles of personnel. A robust IoT analytics lifecycle can play a critical role in helping organizations separate the relevant signals from the noise in IIoT data, gain real time critical insights, and drive appropriate, timely action to realize the promised value of IIoT. This session will explore these topics and offer insights on pursuing a successful industrial IoT strategy that leverages a robust analytics lifecycle.
Gartner predicts there will be 250 million connected vehicles by 2020. While automotive manufacturers are on track to drive connected vehicles implementation, are they poised to leverage the trillion-dollar opportunity from the gold-mine that is “sensor data”?
Research from Morgan Stanley suggests, automotive manufacturers can save $488 billion by using predictive maintenance. By assessing in advance which equipment needs maintenance, automotive manufacturers can better plan maintenance work and smoothly convert the abrupt "unplanned outages" into shorter and fewer "planned outages" and spend lesser time in damage control as equipment issues are detected even before they actually occur. The result? Lower operational costs, increased machine lifetime and asset performance.
Join this webinar to learn how automotive manufacturers can:
· Transform connected vehicles into a revenue generating programme
· Reduce costs with equipment insights from engineering data
· Decrease downtime probabilities & boost production quality, safety and efficiencies
· Automate data science workflow with meta-learning enabling you to dramatically reduce the manual data science effort
· Learn how a leading automotive achieved 10% increase in operational efficiency with automated predictive maintenance