By Takin Babaei-Oracle on Sep 15, 2015
Joseph Thamas ( view the original post on LinkedIn)
Joe Thomas – Sr. Director, Global Business Analytics Product Group
In a recent survey, 86% of companies stated that they had no formal analytics function in their HCM department. I found this both frightening and stunning. Compensation and benefits are a sizable operating expense for any company, but for a services based organization, it might be the highest single expense. No CFO would allow individual cost-center managers to make cash flow or treasury decisions, yet these same managers regularly make critical compensation, recruitment and retention decisions without a strategic analytical framework.
HCM is the “Supply Chain” of all service-based organizations, and a critical component of any organization. The same rigor that is placed on the finance department in terms of cash flow or investments, or on operations for product defect rates or product profitability must be brought into and delivered by the HCM function. Simple reporting on headcount or turnover is not enough. Analysis of the entire HCM “supply chain” of “Hire to Retire” is critical in today’s competitive environment. Stop focusing on headcount reports in Excel, and start thinking about how to optimize “revenue by employee by product and geography over time”. It needs to start with you.
2014 was a busy year for Oracle Business Analytics. Here is a look at Oracle Business Analytics top 10 moments in 2014 (in no particular order):
10. Oracle Lays out the Top 10 Big Data and Analytics Trends in 2014: Oracle surveyed hundreds of IT decision makers to learn about their big data and analytics plans for 2014—both within the Oracle customer base and the industry at large. Respondents provided specific feedback on mobile BI, cloud, Hadoop, data discovery, predictive analytics, and decision optimization technologies and practices. From this extensive data set we compiled the following trends: click here.
9. Why 2015 Will Be Year of Big Data: Oracle's Seven Predictions: Neil Mendelson, Oracle's vice president of Big Data and Advanced Analytics, is immersed in this sector each day at his office in Redwood Shores, Calif. In a conversation with eWEEK, he offered readers some insight into what the company is thinking—and how big data trends will be evolving—as we all move into 2015. click here
8. The Intelligence Guy Video Series Makes its Debut: In this series we explore important business issues that can be addressed using Big Data and Analytics. click here
7. Customers Talk About the Benefits of Oracle BI Solutions at Collaborate 2014: Hear InterRel, Ameren, Hess Corp, Acadia Healthcare, University of California Berkeley, The City of Atlanta, ADP, and others talk about how they have achieved real business results with Oracle Business Analytics solutions. click here
6. Oracle BI Applications Deliver Greater Insight Into Talent and Procurement: To empower organizations to achieve greater visibility into their business performance and to execute with greater agility, Oracle has announced the latest release of Oracle Business Intelligence (BI) Applications. With new ways to seamlessly analyze procurement data and a new module for analyzing talent, Oracle continues to extend the opportunity for organizations to gain insight from a range of data sources and applications. click here
5. Oracle Extends Big Data Portfolio with Oracle Big Data SQL: To address organizations' need for comprehensive big data solutions, Oracle introduced Oracle Big Data SQL, an essential part of a big data management system. Breaking down data silos to simplify information access and discovery, the offering allows customers to run one SQL query across Hadoop, NoSQL, and Oracle Database, minimizing data movement while increasing performance and virtually eliminating data silos. click here
4. Oracle Announces Exalytics In-Memory Machine X4-4: The latest refresh of Oracle Exalytics In-Memory Machine, an engineered system for business analytics, includes Intel Xeon processors customized for Oracle business analytics workloads, supporting 50 percent faster clock speed, 50 percent more processing cores and 50 percent more memory compared to the previous generation. click here
3. Oracle Repeats as BI and Analytics Leader in Gartner MQ: For the 8th consecutive year, Oracle is a Leader in Gartner’s Magic Quadrant for Business Intelligence and Analytics Platform. Gartner declares that “the BI and analytics platform market is in the middle of an accelerated transformation from Business Intelligence (BI) systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization.” click here
2. Oracle Introduces Oracle Analytics Cloud: Oracle announced Oracle Analytics Cloud, a comprehensive portfolio of analytics offerings built for the cloud; deployed in the cloud; and enabling data analysis for cloud, on-premises, traditional, and big data sources. click here
1. Oracle Delivers Big Data Analytics in the Cloud: Oracle has introduced Oracle Business Intelligence Cloud Service (Oracle BI Cloud Service), a part of Oracle Analytics Cloud, which offers the most comprehensive analytics cloud suite on the planet. With built-in mobile capabilities. click here
For the 8th consecutive year, Oracle is a Leader in Gartner’s Magic Quadrant for Business Intelligence and Analytics Platform. Gartner declares that “the BI and analytics platform market is in the middle of an accelerated transformation from Business Intelligence (BI) systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization.” Oracle offers all these wide-ranging capabilities across Business Intelligence Foundation Suite, Advanced Analytics and Real-Time Decisions.
“The race is on to fill the gap in governed data discovery,” professes Gartner. In this year’s MQ, all the Leaders have been moved “westward,” to the left, to open up white space in the future for vendors who address “governed data discovery” platforms that address both business users’ requirements for ease of use and enterprises’ IT-driven requirements, like security, data quality, and scalability. Although in Gartner’s view no single vendor provides governed data discovery today, Oracle Endeca Information Discovery 3.1, which became available in November 2013 after Gartner conducted the MQ report, is a complete enterprise data discovery platform that combines information of any type, from any source, empowering business user independence in balance with IT governance. Users can mash-up personal data along with IT-provisioned data into easy to use visualizations to explore what matters most to them. IT can manage the platform to meet data quality, scalability and security requirements. Users can benefit from additional subject areas and metadata provided by integration with Oracle BI.
Gartner additionally cites other Oracle strengths such as more than 80 packaged BI Analytic Applications that include pre-built data models, ETL scripts, reports, and dashboards, along with best practice, cross-functional analytics that span dozens of business roles and industries. Lastly, Oracle’s large, global network of BI application partners, implementation consultants, and customer install base provide a collaborative environment to grow and innovate with BI and analytics. Gartner also cites the large uptake in Oracle BI Mobile enabling business users to develop and deliver content on the go.
If we look at the core elements of big data – volume, variety and velocity - the future looks to be headed in one direction only: more volume, greater variety and increased velocity as more devices come online, more transactions are captured, more personal data provided and more organisations learn to capitalize upon the data created within their business ecosystem. New breakthroughs in technology and the adoption of technologies complementary to big data will drive these increases, not least the ‘internet of things’.
The rise of the machines
There is a lot of talk about the ‘internet of things’ – the idea that one day most things will be connected to the internet. From our fridges creating information about replenishment and talking directly to our online shopping accounts and supermarket loyalty schemes, to the anticipated growth in wearable technology such as smart watches and smart glasses which will relay information on location and behaviors. All of this will create valuable data.
The increasingly powerful smartphones in our pockets will have the power to change the world around us, from the offers we see advertised in supermarkets as our past purchasing history and other behaviors stored on the phone – such as the movies we watch, the apps we use and the places we visit – create a near faultless picture of us as a consumer to the ways in which our banks tailor offers specifically to our lifestyles.
Our cars will transmit ever-more information, creating better deals on insurance and reducing instances of expensive repairs, removing cost from maintaining a car. Our home entertainment systems will intuitively learn more about the content we want and when we want it. What we are prepared to pay for now and what we are willing to wait for to get free.
Our world, only better
The world will become tailored towards our wants and needs. Some changes will be imperceptible to the naked eye or the rational mind but much will be driven and governed by big data. It might just feel that things work a little better or more efficiently but behind the scenes the analysis of big data will be working harder than ever to shape all the moving parts of our physical and experiential environment.
Take transport. Anecdotally many Londoners claimed during the 2012 Olympics that public transport, a much feared weak link in London’s Olympic offering, was faultless for the duration of the games. This is not because issues did not arise but because every scenario was catered for and solutions existed ready to be deployed at the moment of need.
That was thanks to many years or planning but with the analysis of big data, from the analysis of passenger flow into transport hubs, via pedestrian routes and terminus points such as major airports, to likely weather conditions and related disruptions, to real-time location based monitoring of replacement bus services and traffic conditions on alternate transport routes, that level of service is replicable, consistently on a daily basis.
Even scenarios around unforeseeable incidents and the indicators they might be about to occur – such as analysis of data from sensors along water pipes pre-empting or forewarning of a burst water main that could close a road – can be modelled into scenario planning or allow for a fix to be applied before the issue occurs. This will require investment but as metropolitan areas around the world compete for inward investment in a global economy it would be a mistake to overlook the long term benefits.
Big data means safer communities
Law enforcement is one area where major change can happen and we are already seeing the seeds of unprecedented transformation being sewn. Big data analysis can play an important role in identifying trends which allow police forces to better anticipate when and where crimes may be committed.
It is possible to model crimes and predict their outcomes and repercussions and to identify what crimes may breed other crimes in the neighbourhood or within specific groups within society. Big data can help predict which crimes become part of an unfolding spree and which are most likely to be isolated incidents. This will enable police forces to plan resources and ensure units are in the right place at the right time.
Structured, relational data may inform us that burglaries tend to happen more during public holidays when many houses are empty as people stay with friends and family and invariably burglaries happen during the night. The relational data may tell us past victims of burglary are more likely to be victims again. But there are layers upon layers of non-relational data which can be factored into predicting when crimes are going to happen – and where – which is obviously preferable to simply developing a better understanding of where and when they have already happened. Similarly if an incident can be isolated and prevented from developing into a crime spree that too is a marked improvement.
Big Data and Privacy
Of course, it is impossible to have a discussion of big data without discussing privacy. It is every individual’s right to withhold personal information and we can elect to switch off location-based services on our phones and we can politely decline the offer of a customer loyalty card from our supermarket. We can choose not to use car insurance based on in-car telematics. But at the heart of this is a point of cultural tension.
People will resist the gifting of data to businesses and organisations unless it is a mutually beneficial transaction. Organisations need to help consumers see the benefits in order to enlist them in a willing development of truly powerful big data-based businesses.
There is undoubtedly gold to be found among big data but it must line the pockets of consumers and businesses alike. We must get better banking products, an improved retail experience, better home entertainment options, an improved commute, cheaper insurance, a better seat on the plane and a better glass of wine. We need to all feel that our lives are about to get a lot better. And if organisations can help us to feel that, there is no limit to what big data can do.
2013 was a busy year for Oracle Business Analytics and as it comes to end, we wanted take a moment to thank all of our customers and partners for another great year together. At Oracle, we enjoy a good year-end recap so here is a look at Oracle Business Analytics top 10 moments in 2013 (in no particular order). Relax and take a stroll down memory lane with us!
10. The Release of Oracle Endeca Information Discovery 3.1 – The latest release of Oracle Endeca Information Discovery 3.1 incorporates new enterprise self-service discovery capabilities for business users, allowing them to easily make information-based business decisions with greater success, safety and confidence. Learn more about Oracle Endeca
9. Big Data at Work Webcast Series – 5 webcasts, 1000’s of attendees with featured guest speakers from Dell, Passoker, Cloudera, Delphi, as well as MIT’s Andrew McAfee. View on-demand
8. Oracle Exalytics T5-8 Scales Up to Deliver Customers with Analytic Insights – Oracle Exalytics In-Memory MachineT5-8, the new engineered system with 4TB of memory per machine, delivers extreme performance for business intelligence (BI) and enterprise performance management (EPM) applications, helping organizations drive better efficiency by speeding answers to complex business scenarios. Learn more about Oracle Exalytics
7. Mark Hurd - Oracle OpenWorld 2013 Keynote – Oracle President, Mark Hurd, gives his keynote on transforming businesses with Big Data and Analytics at Oracle OpenWorld 2013. Watch the Video
6. Oracle Exalytics Strong Customer Adoption– Sodexo, SoftBank, Cablemas, WorleyParsons, Santos, Zagrebacka banka , Cablevisón, Avago Technologies, United Supermarkets, Immonet GmbH, Nilson Group AB, Siemens Healthcare, Pinellas County, Ministero del Lavoro were among the many organizations recognized at Oracle OpenWorld 2013 for leveraging Oracle Exalytics to deliver extreme performance for their mission-critical BI and enterprise performance management (EPM) applications. Learn more about Oracle Exalytics
5. The Release of Oracle BI Mobile App Designer – A new design tool with which business users can easily create stunning and interactive analytical applications for use on any major mobile device. With this release, Oracle adds major innovations to Oracle Business Intelligence, extending the capabilities of the Oracle BI Mobile solution, and reinforcing Oracle’s commitment to empowering organizations to stay connected to their businesses with real-time insights while on the go. Learn more about Oracle BI Mobile App Designer
4. Oracle Exalytics X3-4 Powers Real-Time Analytical Insights – The new system features significant software enhancements and hardware updates, dramatically expanding the capabilities of the industry’s first high-speed engineered system for business analytics. Learn more about Oracle Exalytics
3. The release of Oracle Business Intelligence Applications 220.127.116.11.1 – Completely redesigned to increase implementation productivity, the new release incorporates significant enhancements across the entire BI Applications product line and introduces new in-memory analytic applications. Learn more about Oracle BI Applications
2. The Oracle Business Intelligence Foundation Suite Release 18.104.22.168 – Delivers significant enhancements to usability, mobility, user experience and Big Data integration, enabling organizations to analyze critical information and get the intelligence they need to optimize their business. Learn more about Oracle BI Foundation Suite
1. Oracle Positioned in Leaders Quadrant for BI and Analytics Platforms by Gartner – Oracle has been named Leader in Business Intelligence for the seventh consecutive year. Read the report. Plus, Oracle customer, Land O Lakes, wins Gartner BI and Analytics Excellence award for their innovative use of Oracle Endeca Information Discovery. Read the story
Historic Moment - Oracle Team USA puts Big Data and Analytics to work and fuels the most dramatic victory in the history of the America's Cup. Watch the Video
We're excited to see you all in just
a few days at Oracle OpenWorld 2013! This year's OpenWorld promises to be
the biggest and best ever, with thought-provoking speakers and experts at every
turn. Big data and Analytics will have first billing with Mark Hurd
getting us started bright and early at the Monday keynote, "Transforming
Business with Big Data and Analytics". For those of you who we will see in person, I hope you'll join us at our
first ever Business Analytics Tweet ups on Tuesday and Wednesday at
2pm, at the BI Mobile App Designer Demo booth in Moscone South. Can't
wait to meet you all in person!
For those that can't make it there in person, we'll be live tweeting some of the sessions, so follow us on @OracleAnalytics if you want to find out more:
|Sunday, September 22||Welcome Keynote: Larry Ellison, Oracle||5:00 - 7:00 PM|
|Monday, September 23
||Transforming Businesses with Big Data and Analytics
Mark Bluhm, Thomson Reuters Corporation
Duncan Niederauer, NYSE Euronext
Mark Hurd, Oracle
|8:00 AM - 9:45 AM
||Oracle Business Intelligence Product and Technology Roadmap
Paul Rodwick, Oracle
|10:45 AM - 11:45 AM
||General Session: Harnessing the Power of Big Data and Business Analytics to Transform Business
Rajeev Nayar, Infosys
Scott Osterman, Underwriters Laboratories
Justin Grochoski, Oracle
12:15 PM - 1:15 PM
Twitter coverage by @Takin_ba
||General Session: Empowering Modern Enterprise Performance Management
Matt Schwenderman, Deloitte Consulting LLP
Balaji Yelamanchili, Oracle
12:15 PM - 1:15 PM
Twitter coverage by @jenn_toomey
||What’s New with Oracle Exalytics In-Memory Machine?
Al Dudley, SAVVIS
Praveen Deshpande, Oracle
Vasudevan Murthy, Oracle
|12:15 PM - 1:15 PM
||General Session: Oracle BI Executive Briefing
Brian Eyles, Financial Conduct Authority
Balaji Yelamanchili, Oracle
|1:45 PM - 2:45 PM
| Tuesday Sept 24
||Oracle Endeca Information Discovery: Customer Panel
Kelvin Lau, Barclays
Michael Macrie, Land O Lakes
Keith Johnson, Oracle
|10:30 AM - 11:30 AM
||Cloud Business Analytics
Neil Mendelson, Oracle
Hari Sankar, Oracle
|3:45 PM - 4:45 PM
||Oracle BI Mobile Adoption: Customer Panel
Edward Cody, General Dynamics IT, Inc.
Christopher Royle, Polk
Jack Berkowitz, Oracle
|5:15 PM - 6:15 PM
| Wednesday Sept 25
||Customer Success: Leveraging Multiple EPM Products Maximizes ROI
Susan Dean, NCR
George Somogyi, New Edge Group
Jeffrey Spangler, Speedy Cash Holdings Corp
Alphonso Marciante, Oracle
Nigel Youell, Oracle
|10:15 AM - 11:15 AM
||What’s Next for Oracle Business Intelligence Applications? A Sneak Peek into the Future
Florian Schouten, Oracle
|11:45 AM - 12:45 PM
||Customer Panel: Oracle Exalytics
Jonathon Eastman, Wellpoint
Karlo Kovacic, Zagrebacka Banka
Benjamin Pearce, WorleyParsons
Karen Yip, Oracle
|1:15 PM - 2:15 PM
||Customer Panel: Real-World Value with Oracle Business Intelligence Applications
Bharath Natarajan, Agilent Technologies
Robert Davis, Oracle
|3:30 PM - 4:30 PM
We are very excited to introduce Oracle Endeca Information Discovery 3.0, a major release which has been 2 years in the making. This release continues to strengthen Oracle Business analytics portfolio with a key enhancements to our Data Discovery solution.
There are three major themes to the release:
Enhanced End User Discovery Experience: Improving upon an intuitive end user discovery experience founded on years of experience in online commerce, the OEID3.0 release provides a completely modernized look and feel. This provides users a more sophisticated, yet streamlined and cleaner experience in which to discover new insights.
Improved Business User Self-Service: Oracle Endeca Information Discovery 3.0 has made major investments to empower the business. This is achieved by providing business users with the ability to upload their own Excel files into Endeca Server and create new discovery applications without the need to understand complex query languages. Business users can also create and share new applications using highly curated data sets already provisioned by IT.
Robust Data Discovery for the Enterprise: A superior discovery experience does not come at the expense of enterprise standards, governance, and security. With this release OEID provides new features which further solidify its place as the only enterprise-class data discovery platform, with localization on 10 languages, Endeca Server support on 22 languages, the ability to deploy on Weblogic, new JSON reader, native integrations with Oracle BI Server, and more.
That's the title of a new white paper we've just posted. From the executive summary:
Big data doesn’t only bring new data types and storage mechanisms, but new types of analysis as well. In the following pages we discuss the various ways to analyze big data to find patterns and relationships, make informed predictions, deliver actionable intelligence, and gain business insight from this steady influx of information.
You can check it out here.
Human Resources is back in the spotlight. According to industry benchmarks, the cost of replacing an employee can equate to 1.5-4x an employee’s salary, and given ever shrinking budgets, improving employee retention is viewed as a major way to reduce costs on the bottom line. In fact, according to a recent study by the Society of Human Resource Management, the three biggest challenges facing HR executives over the next 10 years are retaining and rewarding the best employees (59%), developing the next generation of corporate leaders (52%), and creating a corporate culture that attracts the best employees to organizations (36%).
Fortunately, data abounds which can help organizations make the best decisions necessary to solve these challenges. Unfortunately, much of the information and the resulting insights which can come from it are outside the reach of traditional business analytics systems, in external websites, social media, text from human resource transactions kept in legacy systems, and documents in content management systems. With this ever-growing complexity, HR executives can gain competitive advantage through richer intelligence, if they are able to draw new and innovative insight with a tool which provides previously untapped actionable information—Oracle Endeca Information Discovery.
Oracle Endeca Information Discovery helps human resource organizations to improve the relationship between companies and their employees, get to the real root causes behind issues, and create new best practices through a better understanding of the workforce by solving the problems associated with analyzing unstructured data. Oracle Endeca Information Discovery creates transformative opportunities for the business, and enables IT to cost-effectively support them in:
No question that many IT professionals are feeling the pressure to rapidly deliver analytic solutions that respond to the continuous demands of the business user. Primary research shows that analytics in the context of Big Data continues to be top of mind for executive teams at global enterprises. Executives clearly understand the value of Big Data and analytics and many are very vocal proponents of the value it can bring to bear on the business. What executive is not interested in understanding sales trends, KPI’s, social sentiment about the business and critical metrics, even predictive views of the business?
All these requirements and many more have created a tremendous backlog of analytic application requests. This backlog grows significantly as IT professionals are successful in delivering highly tuned internal analytic solutions that quickly deliver value. Everyone begins to say “I want one of those”!
We are no longer operating in the past when these analytic projects took years to complete and where a “boil the ocean” approach was the norm. Today, we see a changing landscape where Agility is what matters most when it comes to delivering rapid returns on key Big Data and analytic investments. In fact, just about every IT professional is pursuing the Agile model for development where product development efforts of the past are streamlined using methodologies that lean towards delivering high value features that are delivered in short bursts of time. This is clearly the method that is emerging when it comes to rapidly delivering analytic solutions to the end user in short bursts of time where value is immediately evident.
Agility in analytics doesn’t require that the product be a desktop business intelligence solution delivered in silos. In fact, Agile analytics requires that IT and the business users work collaboratively and quickly to ensure strong IT governance while also providing powerful analytic solutions to the end user rather than having the user take on the whole effort.
New Information Discovery solutions such as Oracle Endeca Information Discovery clearly have embraced the notion of delivering high value agile analytic applications in short bursts of time. Some including situational analytic apps. We have seen this play out frequently where POC’s (proof of concepts) quickly go into production in a very short period of time because of the compelling value that was delivered in the POC.
Agility also means developing in short product iterations, this enables one to deliver an analytic application, get immediate feedback from end-users and rapidly iterate to deliver new or expanded requirements that deliver further value. We are talking weeks not many months. Some projects have gone from 8 week iterations down to 2 week iterations. Because Agile analytic solutions are typically delivered through a browser in a private or public cloud, versus a silo desktop only tool, the new enhancements are readily available for test and validation by the end user. This capability combined with agility also gives the analytic application developer a chance to quickly show that they are meeting the key requirements of the end user.With increased agility and business user success, we will eventually turn the corner and agility will be the new norm in analytics.
The Oracle Endeca Information Discovery Product Management team has been busy building a new YouTube Channel to showcase the capabilities of the Endeca Information Discovery product. The team has started to release a new screencast series for "Getting Started With Endeca Information Discovery. This series will help showcase the strong capabilities of the product. It will also give you a sense of what the business user experience is like and also show you how innovative this solution is for building highly interactive, search driven analytics applications on a variety of data including structured, multi-structured and unstructured data, especially on Big Data.
We encourage you to check it out at http://www.youtube.com/user/OracleEID/
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