You are currently browsing the category archive for the ‘Business Intelligence (BI)’ category.

VR2014_TechInnovation_AwardWinnerAt its Oracle OpenWorld the multibillion technology provider showcased the breadth and depth of its cloud computing applications and platform. Chairman Larry Ellison proclaimed it the only unified and open approach in the industry. He criticized other large application vendors that use multiple platforms to support their applications, use a proprietary layer that is not fully extensible, provide only a portion of applications needed to run the business or run on Oracle’s database technology. These technical merits may not be relevant to the decision-making processes of business but can be critical for CIO and IT. But the strength of the Oracle Cloud Computing portfolio, which includes infrastructure, platform, tools and applications, is so impressive that our firm awarded Oracle the Technology Innovation Award in Cloud Computing for 2014. This builds from my analysis earlier in the year on the overall efforts of Oracle for cloud computing.

Oracle’s cloud application portfolio spans many areas of business, including human capital management, which my colleague Stephan Millard has analyzed. Its sales application portfolio also has reached a high level of maturity. Its efforts for sales organizations go beyond sales force automation (SFA) for sales reps and managers to other applications for those roles and sales operations and executives as well. In the years since its acquisition of Siebel Systems, Oracle’s position in this market slipped as nemesis salesforce.com became a major player. Now it not only has climbed back into a competitive position but has a more complete sales portfolio than salesforce at a more affordable price.

At Oracle OpenWorld it announced highlights of its advancements in sales. Oracle Sales Cloud version 9 advances sales force automation, partner relationship management and sales performance management along with adding support for mobile and social collaboration technology and sales analytics for roles from executives to front-line sales teams. The greatest changes as I see it are in the sophistication and usability of the sales applications and the embedding of analytics and collaboration that make them faster and easier to use. Oracle has ensured that the new versions are backward-compatible with previous iterations and integrated them with on-premises legacy systems such as Siebel and its own Oracle E-Business Suite to help customers that have mixed environments operate now and will migrate in the future.

Oracle has redesigned its approach to sales to focus on productivity enhancements in tasks related to meeting customers and updating information in more user-centric ways than most SFA systems have. For example, a new mobile application yet to be released, Oracle Sales Cloud Call Report App, enables smartphone users to review and update sales opportunities quickly and easily and to immediately see the impact of changes to forecasts and quotas. In a second area, collaborative selling, Oracle Sales Cloud Mobile is easy to use on smartphones and tablets, but still could improve in being more task and workflow based and be more optimized for touch gestures. In another area, however, Oracle has advanced beyond others: Oracle Voice users can interact verbally with the application to engage in sales at any time and place, even while driving. To reach this unique position Oracle partners with Nuance, as was announced earlier this year. It works on Apple iOS platform to enable a range of tasks to be conducted through voice operations.

Oracle knows that sales prospecting requires robust information that often exists outside the enterprise and across the Internet. To make it easier to get data from partners such as Dun & Bradstreet, the company announced Oracle Data as a Service (DaaS) for Sales, which enriches data with more than 150 attributes about organizations and 100 attributes about individuals. This product takes advantage of Oracle’s acquisition of BlueKai, which provides a marketplace for organizations to share and license data for use within their business. Oracle Data as a Service is a significant component of Oracle’s cloud computing platform and will be valuable for sales organizations.

In recent years sales organizations have become able to automate configuring products and quoting prices by adopting configure price quote (CPQ) software and integrating it with SFA to support interactions with customer prospects. Oracle’s acquisition of Big Machines complements the Oracle Sales Cloud by eliminating the need for a separate application that might not be integrated into the sales process. The company does market Oracle CPQ Cloud as a separate offering, but it is clearly part of the sales portfolio. The next step for Oracle in this area should be to enhance its portfolio for contract automation, which is a challenge that causes sales people and operations to spend significant time in creating a process and workflow of documents that legally define purchases, deliveries and invoicing.

vr_scm14_03_issues_with_incentive_calculationAnother key component is Oracle Sales Cloud Sales Performance Management. It uses analytics to manage and improve sales performance with applications designed for coaching and territory optimization. It also has a new mobile application for monitoring sales contests among teams in which progress toward quotas and goals can easily be seen and reviewed. Our firm takes a broad view of sales performance management to include operations, tasks and all sales processes; Oracle’s application is limited to gaining knowledge from analytics on sales activities. For other users seeking to manage sales compensation in general and the unique elements of incentive compensation the vendor has advanced from Oracle E-Business Suite Talent Management to Oracle Workforce Rewards, which includes compensation, benefits and payroll management as part of the Oracle Human Capital Management Cloud. Our benchmark research finds that the process of sales compensation continues to be an issue for almost two-thirds (65%) of organizations; it affects sales operations and executives along with individual sales reps, and for many it is a priority to improve.

vr_SF12_07_impediments_in_sales_motivate_investmentOracle has also expanded its analytics offerings for business. A relevant one here is Oracle Transactional BI Enterprise (OTBIE) for CRM, which provides a portfolio of analytics for forecasts, the pipeline and accounts and helps users understand past performance and predict the future. Analytics of the sales forecast and pipeline is another priority for sales; our research shows that scattered and inconsistent information are the top two impediments that drive about half of organizations to invest further in sales management systems. Oracle’s analytics build on its experience in providing operational reporting capabilities in Oracle Transactional BI Standard, which can present a range of metrics for insights on activities. New advances in sales analytics are evident in Oracle Mobilytics, which provides a sophisticated view of sales activities that can become interactive through visualization. There is also Oracle Sales Cloud Sales Predictor, which helps guide sales people on which products are most likely to be purchased. Overall Oracle has advanced the analytics in its cloud platform significantly this year. Recently it announced Oracle Analytics Cloud, which enhances its tools and the ability to access and embed them in Oracle applications.

As Oracle continues to advance its Sales Cloud, the products are less of a challenge than recognition of the company by customers as a leader in these sales applications. To be competitive in the market will require further investments in marketing and sales to gain momentum and customer adoption but also to continue to expanding the application portfolio. For the Sales Cloud Oracle currently charges $100 per user per month and considering the breadth of applications and analytics, this could be seen as very competitive; salesforce.com starts at $65 per user per month for the basic SFA, but the recently announced Salesforce Analytics Cloud will cost $125 per user per month of which both are significantly more costly. Others major application providers like SAP are also advancing similarly to Oracle for SFA and sales performance management but still have not been able to fulfill on the larger portfolio of application needs for sales operations and executives.

Oracle is a serious player in the market for sales applications and very price advantageous and innovative in its portfolio; we advise organizations to evaluate the company as one of the few that offers more than just SFA and operates in the cloud and mobile technology environment. If you are looking for an integrated suite of sales applications that can help everyone involved in sales, Oracle should be on your list for optimizing operations and maximizing sales performance.

Regards,

Mark Smith

CEO and Chief Research Officer,
Ventana Research

vr_Big_Data_Analytics_02_defining_big_data_analyticsTeradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from all sources and not just one specific to big data. This inclusive approach is what Teradata as designed its architectural and technological approach in managing the access, storage and use of data and analytics.

Teradata has advanced its data warehouse appliance and database technologies to unify in-memory and distributed computing with Hadoop, other databases and NoSQL in one architecture; this enables it to move to center stage of the big data market. Teradata Intelligent Memory provides optimal accessibility to data based on usage characteristics for DBAs, analysts and business users consuming data from Teradata’s Unified Data Architecture (UDA). Teradata also introduced QueryGrid technology, which virtualizes distributed access to and processing of data across many sources, including the Teradata range of appliances, Teradata Aster technology, Hadoop through its SQL-H, other databases including Oracle’s and data sources including the SAS, Perl, Python and even R languages. Teradata can provide push-down processing of getting data and analytics processed through parallel execution in its UDA including data from Hadoop. Teradata QueryGrid data virtualization layer can dynamically access data and compute analytics as needed making it versatile to meet a broadening scope of big data needs.

Teradata has embraced Hadoop through a strategic relationship with Hortonworks. Its commercial distribution, Teradata Open Distribution for Hadoop (TDH) 2.1, and originates from Hortonworks. It recently announced Teradata Portfolio for Hadoop 2, which has many components. There is also a new Teradata Appliance for Hadoop; this is its fourth-generation machine and includes previously integrated and configured software with the hardware and services. Teradata has embraced and integrated Hadoop into its UDA to ensure it is a unified part of its product portfolio that is essential as Hadoop is still maturing and is not ready to operate in a fully managed and scalable environment.

Teradata has enhanced its existing portfolio of workload-specific appliances. It includes the Integrated Big Data Platform 1700, which handles up to 234 petabytes, the Integrated Data Warehouses 2750 for up to 21 petabytes for scalable data warehousing and the 6750 for balanced active data warehousing. Each appliance is configured for enterprise-class needs, works in a multisystem environment and supports balancing and shifting of workloads with high availability and disaster recovery. They are available in a variety of ratios including disks, arrays and nodes, which makes them uniquely focused for enterprise use. The appliances run version 15 of the Teradata database with Teradata Intelligent Memory and interoperate through integrated workload management. In a virtual data warehouse the appliances can provide maximum compute power, capacity and concurrent user potential for heavy work such as connecting to Hadoop and Teradata Aster. UDA enables distributed management and operations of workload-specific platforms to use data assets efficiently. Teradata Unity now is more robust in moving and loading data, and Ecosystem Manager now supports monitoring of Aster and Hadoop systems across the entire range of data managed by Teradata.

Teradata is entering the market for legacy SAP applications with Teradata Analytics for SAP, which provides integration and data models across lines of business to use logical data from SAP applications more efficiently. Teradata acquired this product from a small company in last year; it uses an approach common among data integration technologies today and can make data readily available through new access points to SAP HANA. The product can help organizations that have not committed to SAP and its technology roadmap, which proposes using SAP HANA to streamline processing of data and analytics from business applications such as CRM and ERP. For others that are moving to SAP, Teradata Analytics for SAP can provide interim support for existing SAP applications.

Teradata continues to advance JavaScript Object Notation (JSON) integration for support of document-oriented databases that are schemaless and semistructured. JSON has become a critical tool as more applications need to store and access data efficiently. NoSQL databases have become more popular recently: 25 percent of organizations in our big data analytics research are using them today, 20 percent  plan to use them within two years, and another 23 percent are evaluating NoSQL. With this focus Teradata provides for its customers application and operational support beyond just supporting data for analytic purposes.

Teradata continues expansion of its Aster Discovery Platform to process analytics for discovery and exploration and also advances visualization and interactivity with analytics, which could encroach on partners that provide advanced analytics capabilities like discovery and exploration. Organizations looking for analytic discovery tools should consider this technology overlap. Teradata provides a broad and integrated big data platform and architecture with advanced resource management to process data and analytics efficiently. In addition it provides archiving, auditing and compliance support for enterprises. It can support a range of data refining tasks including fast data landing and staging, lower workload concurrency, and multistructured and file-based data.

Teradata efforts are also supported in what I call a big data or data warehouse as a service and is called Teradata Cloud. Its approach is can operate across and be accessed from a multitenant environment where it makes its portfolio of Teradata, Aster and Hadoop available in what they call cloud compute units. This can be used in a variety of cloud computing approaches including public, private, hybrid and for backup and discovery needs. It has gained brand name customers like BevMo and Netflix who have been public references on their support of Teradata Cloud. Utilizing this cloud computing approach eliminates the need for placing Teradata appliances in the data center while providing maximum value from the technology. Teradata advancements in cloud computing comes at a perfect time where our information optimization research finds that a quarter of organizations now prefer a cloud computing approach with eight percent prefer it to be hosted by a supplier in a specific private cloud approach.

vr_Info_Optimization_10_reasons_to_change_information_availabilityWhat makes Teradata’s direction unique is moving beyond its own appliances to embrace the enterprise architecture and existing data sources; this makes it more inclusive in access than other big data approaches like those from Hadoop providers and in-memory approaches that focus more on themselves than their customers’ actual needs. Data architectures have become more complex with Hadoop, in-memory, NoSQL and appliances all in the mix. Teradata has gathered this broad range of database technology into a unified approach while integrating its products directly with those of other vendors. This inclusive approach is timely as organizations are changing how they make information available, and our information optimization benchmark research finds improving operational efficiency (for 67%) and gaining a competitive advantage (63%) to be the top two reasons for doing that. Teradata’s approach to big data helps broaden data architectures, which will help organizations in the long run. If you have not considered Teradata and its UDA and new QueryGrid technologies for your enterprise architecture, I recommend looking at them.

Regards,

Mark Smith

CEO & Chief Research Officer

Mark Smith – Twitter

Top Rated

Stats

  • 173,372 hits
Follow

Get every new post delivered to your Inbox.

Join 18,549 other followers

%d bloggers like this: