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At this year’s annual SAP user conference, SAPPHIRE, the technology giant showed advances in its cloud and in-memory computing efforts. It has completed the migration of its conventional VR_2012_TechAward_Winner_Logoapplication suite and portfolio of tools to operate on SAP HANA, its in-memory computing platform, and made improvements in its cloud computing environment, SAP HANA Enterprise Cloud. The last time I analyzed SAP HANA was when it won our firm’s 2012 Overall IT Technology Innovation Award. Now HANA has been transitioned from just a database technology into a broad platform. SAP wisely consolidated its efforts previously known as SAP NetWeaver into SAP HANA. This resolves some confusion regarding HANA and NetWeaver in the cloud, which I assessed. The recently announced SAP HANA Platform now provides the enterprise class of HANA implementation in the cloud. It comes with a trial edition of the data and visual discovery technology now called SAP Lumira, whose price has been reduced to encourage adoption (and which I discuss more below). The use of in-memory databases for big data is accelerating: According to our technology innovation research, 22 percent of organizations are planning to use this technology over the next two years, and through 2015 it will have a higher growth rate than other approaches.

SAP HANA is gaining functionality as a platform and has made an important step forward with its service pack 6. This new release expands integration of the technology into data across its applications and systems. HANA now has virtualized access to data in vr_predanalytics_benifits_of_predictive_analyticsHadoop and a range of other databases along with supporting the necessary data integration. Integrated with Sybase SQL Anywhere, HANA enhances mobile use of that technology; it also works with Sybase ESP to integrate event streams and machine data, and with Sybase Replication Server to connect with Sybase ASE and other databases. HANA’s increased spatial processing capacity handles this type of data, which then can be accessed by tools and applications. Our latest research into location analytics finds new applicability for this across business processes and our next-generation business intelligence research reveals that applying location-based analytics is important to 40 percent of organizations. The latest version of HANA has advanced data modeling capabilities through SAP HANA Studio to make it easier to use data and build a range of business models including predictive ones. Majorities of research participants said that such capability through predictive analytics provides a competitive advantage (68%) and new revenue opportunities (55%).

SAP supports text or natural-language processing needs. At some point I hope it enables HANA to dynamically create text as a result of its analytics; that could communicate better with people than just showing charts and data. This capability already is available in the workforce analytics products of SuccessFactors, whose Headlines technology won our 2012 Overall Business Innovation Technology Innovation Award; however, that does not yet seem to be part of SAP HANA and other applications, which could be a business benefit and product differentiator.

SAP also is expanding its software partner ecosystem to spread use of HANA with a range of applications. An early example is Tagetik, whichprovides its financial application suite on HANA for in-memory computing. SAP also announced recognition of innovative SAP HANA based applications including Warwick Analytics and Semantic Visions that are well worth examining. SAP also is adding integration points with other network storage, data center integration and even business intelligence and analytics. To this point, however, not many vendors are certified on SAP HANA, and my inquiries with various software company executives found they have more work to do and are not getting strong support from SAP to streamline the process to become certified. Elsewhere in its technology ecosystem, SAP announced further cooperation with HP in what is called Project Kraken to create an appliance with 16 processors and 12 terabytes of memory, designed to operate SAP HANA effectively for any range of analytical and transactional needs. Success of this computing appliance is equally important to HP, which is in a do-or die-battle against IBM and Oracle who are advancing in this area. At the same time SAP’s one-time partner Teradata has a competitive approach, whose recent advances in in-memory computing with its new intelligent memory and appliance that I assessed is well worth examining.

HANA is now part of SAP’s overall business intelligence strategy, as my colleague Tony Cosentino has pointed out. This is a positive step as the company works through the challenges of keeping a very large customer base happy as it moves its product line into the future. One of its key points for its future is the newly announced SAP Lumira, which was previously known as SAP Visual Intelligence, a more self-explanatory product name for the intended audience that is engaged in business analytics or even big data analytics. SAP Lumira is really the new face of its business intelligence products whether on-premises or in the cloud; it meets a need for discovery technology, which I outlined and is important to the future of business analytics. This was challenged by partners MicroStrategy and Tableau who were demonstrating their approaches at SAPPHIRE showing its competitive approach and how it can make good use of data from SAP and inevitably SAP HANA as they work through integration of the technology. Our research into technology innovation found that data and visual discovery is not available to 19 percent of organizations, ranking third behind the most unavailable predictive analytics (27%). SAP Lumira interoperates with other SAP products along with supporting Microsoft Excel spreadsheets. SAP also has released SAP BusinessObjects 4.1 with improved access to Hadoop through MapReduce and Hive, and also to Oracle’s Exadata and Essbase technologies. A new edition of SAP Crystal Server and Edge edition furthers support of BI for small and midsize businesses (SMB). SAP continues to have fierce competition in IT departments for BI and to overcome it is working to help business analysts and management use business analytics.

In the realm of business applications, SAP has fulfilled its promise to make HANA the underlying platform across on-premises deployments and the cloud. Its SAP Business One application suite version 9 is designed for SMB and runs with HANA and even Microsoft SQL Server. Simultaneously, the SAP Business Suite is now available on SAP HANAAs my colleague Robert Kugel explained, that makes it possible for customers to avoid using Microsoft or Oracle database technology and take advantage of new technology and applications built on HANA. Examples of this are SAP’s release of its fraud management application on HANA, which Robert assessed, as he did for advances in its EPM portfolio for finance. A word of caution here: Companies that use SAP’s applications on third-party databases have to be careful as the license in most cases only allows for application-specific access to the database, limiting the potential of other business uses. The range of new applications and tools running on HANA is steadily increasing as partners make progress adapting to it; SAP’s digital marketplace dedicated to HANA shows what is available.

SAP is so bullish on its ability to design consumer-friendlyUntitled applications that it also announced efforts to bring that quality into the enterprise through the SAP Fiori apps for common business functions; it also has simplified the user experience of its applications. This is nothing new for SAP which has long emphasized usability and made improvements in a continuous improvement cycle. SAP has invested significantly into the user experience and created AppHaus to build demonstrations of the latest advances. Even so, after looking at the range of new applications, I think SAP still has to improve upon the user experience and design of the applications. SAP is heading in the right direction, but it ought to build an application assembly and design environment that the teams at SAP, and its customers and partners, all can use to build people-centric applications, especially for use on the Web and mobile devices. I got to test applications that demonstrate user experience advancements, but they all were custom-built, and I saw others with primitive user interfaces for business applications; these fall short in trying to engage users across a range of experience and facilitate the natural collaborative aspects of their responsibilities. Those aspects are critical, as our research across every line of business finds usability to be the top evaluation category for software evaluation, and it was the top criterion in 64 percent of all organizations. My analysis suggests that SAP needs to consider the critical aspects of personalization based on role, responsibility and experience and adapt the user experience to them. As well, less can be more when presenting information for the majority of business purposes, and guiding individuals to what is relevant is more important that piling up charts or information on the screen.

Separately from its HANA efforts, SAP has advanced enterprise-class readiness for mobile technology, has outlined a comprehensive mobility framework and deepened support for security through a partnership with Mocana for any applications that embrace SAP’s mobile portfolio and technology. This addresses an evident need, as our technology innovation research into mobile technology finds the top barrier to business deployment is security and risk issues, found in 47 percent of organizations. SAP has to also consider in the world of BYOD the preference for native platforms (39%) over the Web or HTML5 (33%), along with no preference (20%); it won’t be easy for SAP to make everyone happy, especially when half of individuals have a distinct preference for their type of smartphone or tablet. Our research finds fewer than one-third (32%) of people satisfied with their organization’s mobile access to applications and information. I did not hear much about SAP HANA in the company’s mobile strategy except that it powers tools and applications that operate on a smartphone or tablet. But overall SAP is investing more into advancing mobile technology than other technology suppliers, and its potential is yet to be realized as business and IT begin a transformation to mobile readiness.

Since my analysis after last year’s SAPPHIRE SAP has brought to reality its cloud computing strategy with products that are now available. I thought that more could have been highlighted in SAP’s sustainability efforts in including its software, for which last year vr_bti_br_access_preferences_for_innovative_technologieswe provided a 2012 Leadership Award to its customer Danone for its use of SAP products. I was more surprised that SAP was rather quiet about its efforts in business and social collaboration as it works to transform its technology by embedding the Jam product in its software. SAP is working to ensure its products are simple but sophisticated, available on any platform or device and localized to any country in the world – and that they operate on SAP HANA. It is also working to deliver faster methods to onboard and experience its software through rapid deployment. SAP’s focus is to inject the technology innovations into its platform and applications while also supporting what our technology innovation research finds is the desire for a variety of access methods: on-premises, on-demand and hosted approaches that are distributing quite rapidly. It is clear that organizations want choice in how they access technology and applications; SAP is prepared to address this as it enters a new era of opportunity built on SAP HANA.

Regards,

Mark Smith

CEO & Chief Research Officer

Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis vr_bigdata_big_data_technologies_plannedof Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data. Teradata is steadily extending beyond providing just big data technology to offer a range of analytic options and appliances through advances in Teradata Aster and its overall data and analytic architectures. One example is its data warehouse appliance business, which according to our benchmark research is one of the key technological approaches to big data; as well Teradata has advanced support with its own technology offering for in-memory databases, specialized databases and Hadoop in one integrated architecture. It is taking an enterprise management approach to these technologies through Teradata Viewpoint, which helps monitor and manage systems and support a more distributed computing architecture.

By expanding its platform to include workload-based appliances that can support terabytes to petabytes of data, its Unified Data Architecture (UDA) can meet a broad class of enterprise needs. That can help support a range of big data analytic needs, as my colleague Tony Cosentino has pointed out, by providing a common approach to getting data from Hadoop into Teradata Aster and then into Teradata’s analytics. This UDA can begin to address challenges in data activities and tasks in the analytic process, which our research finds are issues for 42 percent of organizations. Teradata Aster Big Analytics Appliance is for organizations that are serious about retaining and analyzing more data, which 29 percent of organizations in our research cited as the top benefit of big data technology. This appliance can handle up to 5 petabytes and is tightly integrated with Aster and Hadoop technology from Hortonworks, a company that is rapidly expanding its footprint, as I have already assessed.

The packaged approach of an appliance can help organization address what our technology innovation research identified as the largest challenges in big data: not enough skilled resources (for 56% of organizations) and being hard to build and maintain (52%). These can be overcome if an organization designs a big data strategy that can apply a common set of skills, and the Teradata technology portfolio can help with that.

At the influencer summit, I was surprised that Teradata did not go into the role of data integration processes and the steps to profile, cleanse, master, synchronize and even migrate data (which its closest partner, Informatica, emphasizes) but focused more on access to and movement of data through its own connectors, Unity Data Mover, Smart Loader for Hadoop and support of SQL-H. For most of its deployments there is a range of complementary data integration technology from its partners as much as it is a Teradata only approach. For SQL-H Teradata takes advantage of the metadata HCatalog to improve access to data in HDFS. I like how Teradata Studio 14 helps simplify the view and use of data in Hadoop, Teradata Aster and even spreadsheets and flat files for building sandbox and test environments for big data. (To learn more, look into the Teradata Developer Exchange.) Teradata has made it easy to add connecters to get access to Hadoop on its Exchange which is a great way to get the latest advances in its utilities and add-ons to its offerings.

Teradata provided an early peak on the just announced Teradata Intelligent Memory, a significant step in adapting big data architectures to the next generation of memory management. This new advancement can cache and pool data that is in high demand (hot) across any number of Teradata workload-specific platforms by processing data to determine the importance of data (described as hot, warm or cold) for fast and efficient access and applying analytics. This technological feat can then utilize both solid-state and conventional disk storage to ensure the fastest access and computation of the data for a range of needs. This is a unique and powerful way to support an extended memory space for big data and to intelligently adapt to the data patterns of user organizations; its algorithms can interoperate across Teradata’s family of appliances.

Teradata has also invested further into its data and computing architecture through what it calls fabric-based computing. That can help connect nodes across systems through access on the company’s Fabric Switch using its BYNET, Infiniband and other methods. (Teradata participates in the OpenFabrics Alliance, which works to optimize access and interconnection of systems data across storage-area networks.) Fabric Switch provides an access point through which other aspects of Teradata’s UDA can access and use data for various purposes, including backup and restore or data movement. These advances will significantly increase the throughput and combined reliability of systems and enhance performance and scalability at both the user and data levels.

Tony Cosentino pointed out the various types of analytics that Teradata can support; one of them is analytics for discovery through its recently launched Teradata Aster Discovery Platform. This directly addresses two of the four types of discovery I have just outlined : data and visual discovery. Teradata Aster has a powerful library of analytics such as path, text, statistical, cluster and other areas as core elements of its platform. Its nPath analytic expression has significant potential in enabling Aster to process distributed sets of vr_bigdata_obstacles_to_big_data_analyticsdata from Teradata and Hadoop in one platform. Analytic architectures should apply the same computational analytics across systems, from core database technology to Teradata Aster to the analytics tools that an analyst is actually using. Aster’s approach to visual and data discovery is challenging in that it requires a high level of expertise in SQL to make customizations; the majority of analysts that could use this technology don’t have that level of knowledge. But here Teradata can turn to partners such as MicroStrategy and Tableau, which have built more integrated support for Teradata Aster and offer easier to use that are interactive and visual designed for analysts who do not want to muck with SQL. Teradata has internal challenges in improving support for analysts and the analytic processes they are responsible for; its IT-focused, data-centric approach will not help here. Our big data research finds that staffing and training are the top two barriers for using this technology, according to more than 77 percent of organizations; vendors should note this and reduce the custom and manual work that requires specific SQL and data skills in their products.

Regarding analytics specifically, Teradata has continued to deepen its analytics efforts with partner SAS. A new release of Teradata Appliance supports SAS High-Performance Analytics VR_leadershipwinnerfor up to 52 terabytes of data and also supports SAS Visual Analytics, which I have tried and assessed and tried myself.

Through its Teradata Aprimo applications Teradata continues its efforts to attract marketing executives in business-to-consumer companies that require big data technology to utilize a broad range of information. Teradata has outlined a larger role for the CMO with big data and analytics capabilities that go well beyond its marketing automation software. The company announced expansion to support predictive analytics and has outlined its direction for supporting customer engagement. It needs to take steps such as these to ensure it tunes into business needs beyond what CIOs and IT are doing with Teradata as a big data environment for the enterprise.

Along these lines I have also pointed out that we should be cautious about accepting research that predicts the CMO will outspend the vr_CRM11_Inbound_InteractionsCIO in the future. What I have seen in these assertions is flawed in many facets and often come from those who have no experience in market research and the role marketing and dealing with technology expenditure in that context. As we have done research into both the business and IT sides, we have discovered the complexities of making practical technology investments; for example, our research into customer relationship maturity found that inbound interactions from customers occur across many departments; they occur in marketing (in 46% of organizations), but more often through contact centers (77%), where Teradata should strengthen its efforts. On the plus side Teradata continues to demonstrate success in assisting customers in marketing, winning our 2013 Leadership Award for Marketing Excellence with its deployment at International Speedway Corp. and in 2012 at Nationwide Insurance with Teradata Aprimo. Our current research into next-generation customer engagement already identifies a need to support multichannel and multidepartment interactions. Teradata could further expand its efforts in these areas with existing customers; KPN won our 2013 Leadership Award in Customer Excellence after connecting Teradata with its Oracle-based applications and supporting BI systems.

Overall Teradata is doing a great job of focusing on its strengths in big data and areas where it can maximize the impact of its analytics, especially marketing and customer relations. While IBM, Oracle, SAP and other large technology providers in the database and analytic markets tend to minimize what Teradata has created, it is has a loyal customer base that is attracted to the expanded architectures of its appliances and its broader UDA and intelligent memory systems. I think with more focus on the processes of real business analysts and further simplifying usability, Teradata’s opportunity could grow significantly. In helping its customers process more of the vast volumes of data and information from the Internet, such as weather, demographic and social media,  it could make clear the broader value of big data in optimizing information  from the variety of data in content and documents. It could expand its new generation of tools and applications to exploit the use of this information as it is beginning to do with marketing applications from Teradata Aprimo. If Teradata customers find it easier to access information and share it across lines of business through social collaboration and mobile technology, that will further demand for its technology to operate on larger scales in both the number of users and the places where it can be accessed even via cloud computing. Exploiting in-memory computing along with providing more discovery potential from analytics will help its customers utilize the power of big data and trust in Teradata to supply it.

Regards,

Mark Smith

CEO & Chief Research Officer

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