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Posts tagged ‘Analytics’

Apr 21

What’s Hot in CRM Applications, 2012

Serving the sales force is a mantra and mindset that resonates through the best companies I’ve ever worked with and for.

That priority alone can help galvanize companies who are adrift in multiple, conflicting agendas, strategies and projects.  Uniting around that goal – serving sales and getting them what they need to excel – can turn around even the most downtrodden companies.  And size doesn’t matter, the intensity of focus and commitment to excel  do.

That’s why the latest report from Gartner’s Ed Thompson, What’s “Hot” in CRM Application 2012, published last Thursday resonates with me.  He’s talking about how sales strategies need to be propelled by rapid advances in mobile technology, social CRM, sales content and collaboration, and clienteling to serve the sales force more thoroughly than ever before.  His assessment of what’s hot in CRM is a great foundation for getting behind the mantra of serving the sales force and engraining it into a corporate culture while getting full value from the latest technologies.

Here are the key take-aways from the report:

  • Software-as-a-Service (SaaS) delivery of CRM applications represented 34% of worldwide CRM application spending in 2011.  More than 50% of all Sales Force Automation (SFA) spending is on the SaaS platform.  Gartner clients who are successfully running SaaS are now looking at how to get value from Platform-as-a-Service (PaaS) in the context of selling strategies.
  • CRM spending grew 13% in 2011, fueled analytical, operational and social CRM growth.  Operational CRM represents 80% of all CRM spending and grew 10% in 2011.
  • Analytical CRM, in which Gartner includes predictive analytics and market segmentation analysis, grew a solid 10% in 2011 and is having a very strong year with inquiry traffic.
  • Social CRM grew 30% in 2011 in revenue terms and is 7% of total CRM spending globally as of 2011.   90% of Social CRM spending is originating in Business-to-Consumer (B2C) organizations with the remaining occurring in B2B.
  • Gartner is projecting that CRM will be one of the top three search terms on Gartner.com throughout calendar 2012 based on the trends and volume of calls they are seeing today.
  • CEOs see CRM as their #1 technology-enabled investment in 2012 according the query calls through April, 2012.
  • CRM is ascending rapidly in the priorities of CIOs in 2012, moving from 18th place to eight place  in the latest Gartner analysis.
  • The following table of Highest CRM Application Priorities, 2012 show what’s trending within Sales, Customer Service, E-Commerce and Marketing inquiries Gartner is receiving from its clients.  Consider these as leading indicators of interest.  Over time these areas will need to solidify for forecasts to be completed.
  • Apple iPads are the great maverick buy of 2012 with thousands being purchased by Sales and Marketing management with the immediate requirement of IT integration to these devices.   IT departments are scrambling on the security issues and lack of polices on BYOD.  In enterprise software, iPads are proving to be highly effective as demo platforms for new SaaS-based applications.  They have become the new sales bag of the 21rst century.
  •  High Tech, Life Sciences and Insurance are the three industries with the greatest levels of iPad adoption as of April 2012.  Gartner is predicting that by the end of 2012, 80% of all sales representatives in the pharmaceutical industry will be using iPads for their daily sales tasks.
  • Social or community customer service is the hottest area of growth for post-sales service with high-tech, media, travel, telecommunications, retail and education-based clients dominating client inquiries.

Mar 20

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Gartner Search Analytics Shows Spike in Hadoop Inquiries in 2012 – Good News For CRM

Hadoop was one of the most-searched terms on Gartner’s website in 2011 through 2012, spiking to 601.8% over the last twelve months alone.  Additional insights from the Search Analytics on Hadoop include the following:

  • 27% of all inquiries are from banking, finance and insurance industries, followed by manufacturing (14%), government (13%), services (10%) and healthcare (8%).
  • North America (75.9%) and EMEA (13.5%) are the two most dominant geographies in terms of query volume.
  • Here is the trend line from Gartner Search Analytics:

What’s driving Hadoop’s meteoric rise in searches is a combination of industry hype about big data, CIOs getting serious about using Hadoop distributions that minimize time and risk yet deliver value, and the dominant role Amazon is playing in bringing Hadoop into the cloud.  Today Amazon offers Elastic MapReduce as a Web Service that relies on a hosted Hadoop framework running the Elastic Compute Cloud (EC2) in conjunction with Amazon Simple Storage Service (S2).

Microsoft also scored a major hiring win this week announcing that Raghu Ramakrishnan, former chief scientist for three divisions of Yahoo is now with Microsoft. Raghu is now a technical fellow working in the Server and Tools Business (STB).  He’ll focus on big data and integration to STB platforms.  Big Data on Azure will accelerate now with him on-board.

Hadoop’s Potentially Galvanizing Effect on CRM and Social CRM Analytics

The quickening pace of Hadoop adoption in the enterprise is good news for CRM and especially social CRM. Analytics and Business Intelligence (BI) are the “glue” that unify CRM and keep it in context. One of Hadoop’s greatest potential contributions is the analysis, categorization and use of unstructured content.  Marketing and sales won’t have to run three or four systems to gain insights into customer data, they can run a single analytics platform that fuels the entire selling cycle and lifetime customer value chain of their businesses.  Hadoop has the potential to make unstructured content more meaningful while also reporting the impact of customer insights on financial performance, profitability and lifetime customer value.

Translating terabytes of customer, sales, services and partner data into meaningful analytics and business intelligence (BI) is emerging as a priority for CIOs, who are sharing responsibility for driving top-line revenue growth.   Hadoop shows potential to be the “glue” or galvanizing technology base that unifies all CRM and Social CRM strategies.

To get a perspective on how fast Hadoop is being evaluated and adopted it’s useful to look at the Hype Cycle for Data Management, the latest edition published July, 2011.   This is another indicator of how quickly Hadoop and big data are gaining in terms of CIO mindshare.  Big Data and extreme information management are on the technology Trigger area of the hype cycle.  The Hype Cycle for Data Management is shown below:

Bottom line:  CRM and Social CRM will benefit more than any other area of an enterprise as Hadoop’s adoption continues to accelerate.  CIOs are increasingly called upon to be strategists, and with the ability to translate terabytes of data into strategies that deliver dollars, look for Hadoop’s contributions to drive top-line revenue growth.

Sep 25

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How Analytics and Business Intelligence Are Accelerating Enterprise Cloud Adoption

During the last few weeks of completing a research project on buyer personas, a key finding of of just how quickly enterprises are switching out legacy reporting apps for SaaS-based analytics and Business Intelligence (BI) is emerging.

I’ve been interviewing sales VPs, sales operations directors, contract managers and CIOs. Of all these groups, the CIOs are providing valuable insight into the transition SaaS is going through in their enterprises.

Throughout this post I’ll correlate the interviewed CIOs’ comments back to a recent report Forrester published titled Understanding The Business Intelligence Growth Opportunity by Holger Kisker, Ph.D.  Dr. Kisker’s findings support many of the insights gained from the research on personas completed to date.

Key Points from Persona Interviews and Forrester Study

  • Forrester predicts the market for BI SaaS software will be $529M in 2011 growing to $2.4B in 2014.  The report mentions that by 2012, up to 30% of companies will have some SaaS-based BI services.  From the conversations with CIOs, I think this is actually low.  The urgency to get off of legacy reporting systems and onto a unified reporting platform is quickly changing this market.
  • 80% of enterprises will complement on-premise analytics and BI systems with SaaS-based applications by 2014 according to Forrester.  From the persona study I am working on, the cut-over is going to be much more abrupt.  50% or less of companies will most likely have on-premise applications in place by 2014, as SaaS-based analytics and BI applications provide business users with the information they need when they need it.
  • iPads running analytics and BI apps with lenders’ data in real-time are the new bling in financial services.  One CIO who recently was recruited to a financial services firm told me he quickly picked out the other C-level execs in the room – they all had iPads running analytics apps with live customer data.  One of his first projects: make that happen for the sales teams with a policy app.  Everyone I’ve spoken with on this research study tells me being able to get to their analytics data on an Android or Apple iOS device is critical for their build-out plans.
  • The greatest concerns the CIOs continue to have with SaaS are data integration to legacy systems and lack of security standards.  Despite these concerns one CIO summed it up well and said “We really don’t have a choice, the legacy reporting apps are too high maintenance, don’t integrate to our new workflows well – we need a new reporting platform, so we are piloting a SaaS-based analytics app right now.”
  • The high cost of maintaining legacy reporting applications, integrating them to the latest Microsoft, Oracle or SAP databases, and preserving tribal knowledge are factors pushing CIOs to adopt SaaS-based analytics and BI apps.  One of the CIOs is with a government subcontractor who has Airbus, Boeing, Sikrosky Aircraft as their largest clients explained how dashboards are manually generated in Excel, taking weeks and often being inaccurate.  To comply with contracts they must move to a faster reporting process.  Using SaaS-based analytics in pilots have trimmed the time for creating dashboards from weeks to hours.
  • Cloud integration and security are the skill sets these CIOs are hiring for right now.  A quick analysis from Google Insights shows the rapid ascent of cloud integration as a search term. While Insights doesn’t provide demographics, the persona interviews underscore this trend.
  • Analytics and BI data integration wins are setting the foundation for more complex system migrations in the future.  Bank of America, Citibank and other financial institutions have client-side systems that are outpacing legacy systems’ ability to analyze and make use of the massive amount of inbound data they provide.  Implementing cloud integration projects successfully, in conjunction the successful launch of more scalable SaaS-based analytics and BI applications sets the foundation for migrating even more complex systems.  The Forrester Report Understanding The Business Intelligence Growth Opportunity included the following graphic with further underscores this point.

Bottom line: The lessons learned from migrating analytics and reporting from legacy to SaaS-based analytics and BI applications, combined with the need to have customer and market intelligence on mobile devices, is leading to rapid changes in this market.

Aug 13

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SaaS-based Analytics and Business Intelligence Market Update, August 2011

Challenging, uncertain economic times accelerate sales cycles and lead to more closed deals for business intelligence software providers.  Companies get an urgency to reduce costs and risks, relying on the insights gained from these applications.

There’s an interesting dichotomy starting to emerge in how experts and analysts define just how these markets will mature however.  Both agree that economic uncertainty are growth catalysts yet they diverge on adoption rates, roadblocks, and which analytics and BI technology will dominate in the years ahead.

This week I read Balancing Custom And Packaged Apps In Your Application Portfolio Strategy by George Lawrie, Mike Gilpin and Adam Knoll from Forrester and the latest Hype Cycle of Business Intelligence, 2011 by a collection of Gartner authors led by Andreas Bitterer.  I’ve summarized the key points of each below.

Forrester Sees SaaS Applications Overtaking Custom Application Development

Forrester sees SaaS-based applications starting to replace in-house custom application development, gathering momentum through 2013.  Gartner, with their Hype Cycle for Business Intelligence, 2011 just released this week, shows BI platforms having greater near-term benefit than SaaS-based analytics and BI.  Custom application development projects are going to face continued pressure to keep up with business requirements that SaaS applications are proving able to handle more effectively and economically than ever before.

In-house development makes more sense for specific analytics and reporting requirements,  yet will continually be eroded by SaaS-based applications that can meet most requirements at a lower cost.  Forrester has in the past said SaaS-based adoption of analytics applications in general and predictive applications specifically would be very slow due to data integration challenges.  This study points to a potential shift in their mindset, as the data shows SaaS-based analytics beginning to replace custom in-house developed applications.

Here are the key take-aways from the report:

  • Analytics processes are supported 79% of the time with custom application development.  Procure-to-pay (33%) and record-to-report (33%) are the second-most supported.  Multiple responses were allowed in the survey.
  • When asked which process areas they are automating with SaaS, analytics (33%), record-to-report (18%), order-to-cash  (15%), and purchase-to-pay (12%) were the most common responses.  There was a small sample size on the Forrester report and the most startling insight was how quickly respondent companies plan to migrate from custom application development to SaaS-based analytics and BI.
  • Nearly 50% of the respondents to the Forrester survey have between five and 19 SaaS-based applications today with 18% expecting to have 35 or more by 2013.  In addition 63% of respondents expect to deploy between five and 34 SaaS-based applications by 2013, a significant shift in just two years.
  • 36% of survey respondents say their  SaaS applications run completely standalone.  Another 36% mention they use a combination of on-premises Master Data Management (MDM) and process integration tools.  Ironically only 3% are deploying their applications on cloud-based MDM or process integration-based platforms.

Gartner’s Hype Cycle for Business Intelligence, 2011

Unlike the hype cycle for cloud computing, this hype cycle has fewer technology categories (25), a narrative firmly grounded in business process and strategy, and more practical and pragmatic insights versus just theoretical.  At 50 pages it’s  quick read and while there are many excellent points made, I have summarized the key take-aways pertaining to the highest hype points and SaaS adoption below:

  • Mobile Business Intelligence (BI) is the latest entry to the Hype Cycle for Business Intelligence based on the massive hype around analyzing locational and application data.  The hype surrounding the Apple iPad Series, Google Android and other tablet and smartphone platforms has made this one of the most hyped areas of the last year according to the analysis.
  • Consumerization, Decision Support, analysis of non-traditional data and “Big Data” are the areas of the greatest innovation today.  The hype cycle points to search, mobile, visualization and data discovery being the catalyst of Consumerization.  Predictive analytics, which is on the Slope of Enlightenment on this latest hype cycle, is critical to decision support.  The non-traditional and “Big Data” area of innovation is further supported by content, text analytics, in-memory DBMSs and columnar DBMSs.
  • SaaS-based Business Intelligence is at the apex of the Peak of Inflated Expectations yet will continue to have low adoption rates.  Gartner believes that the  lack of trust in third parties managing confidential data, and the inertia and fear many companies have in moving to a new architecture are slowing adoption.  This is in contrast to the survey Forrester released this week showing analytics being one of the most popular SaaS-based applications planned by 2013 in their base of respondents.
  • Gartner sees SaaS-based Business Intelligence of the most value to midsize and smaller organizations who lack IT staff yet have very specific, targeted information needs.  Website analytics, social media monitoring, dashboards, predictive analytics and Excel as a BI front-end all apply.  Both Forrester and Gartner agree on this point and see this type of custom development going away quickly internally.
  • There is a massive amount of hype surrounding in-memory computing, particularly from SAP at its Sapphire conferences .  Gartner believes that SAP’s vision of in-memory computing exceeds  in-memory analytics to include analytical and transactional processing.  As a result, In-Memory Database Management Systems are at the Peak of Inflated Expectations.


Source: Hype Cycle for Business Intelligence, 2011, Published 12 August 2011 | ID:G00216086 By Andreas Bitterer.  Gartner, Inc.

What Both Agree On

Forrester’s survey shows SaaS eventually replacing custom application development while Gartner’s Hype Cycle for Business Intelligence shows the practical, pragmatic technologies including dashboards, predictive analytics combined with the more complex Business Activity Monitoring (BAM), Business Intelligence Platforms, and Data-Mining Workbenches delivering the most value.  Despite these differences, both agree on the following:

  • The overall market for BI, Analytics and Performance Management continues to grow at between 8 to 12% per year depending on the forecast used.  The following forecast is from the report  Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson.
Source: Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson
  • 2011 continues to see large, strategic deals for analytics and BI closing more rapidly than they have in the past.
  • SaaS-based analytics and BI continues to gain a greater share of spending in midsize and smaller companies.  Both also agree that the proliferation of smaller SaaS-based analytics and Bi vendors concentrating on a specific niche have successfully displaced in-house custom development of competitive applications.  Trust in the smaller vendor, their track record, customer references and financial viability are what are winning deals for SaaS-based analytics and BI software providers today.
  • The market transition from build to buy is now in full force as budgets become available again.  This is key assumption of both analyses and means that smaller, more niche-oriented SaaS-based analytics and BI vendors stand a chance to get new reference accounts and grow, despite a challenging economy.

Dec 22

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Data Science Shows Potential To Redefine Cloud-based Analytics

The emerging field of data science is a fascinating one that has major implications on the potential of cloud-based analytics, CRM, search, supply chain management and logistics.

Instead of relying purely on latent semantic indexing or the Google PageRank algorithm to define relevance of a search, data science techniques analyze content and its context to determine relevance.  Google today looks at the content of a page; data science considers its surrounding data and relevance.

Earlier this month TechCrunch published the blog post Marissa Mayer’s Next Big Thing: “Contextual Discovery” — Google Results Without Search.  The techniques of contextual discovery Google is experimenting with rely on a very rapid aggregation and transforming of data, which are part of the methodologies of data science.   When Google moves fully into contextual discovery the potential exists for cloud-based analytics, CRM, search, supply chain management and logistics to be completely revolutionized by solving the big data problems associated with each of these areas.

In CRM, this would mean finally being able to access external and internal content (including the massive amount of data on social networks), aggregate the data, and transform it into meaningful analysis.  The vision of social CRM would be realized once data science serves as the catalyst of contextual search or as Google calls it, contextual discovery.

Exploring Data Science

Two of the best blog posts are both from O’Reilly Radar on the emerging topic of data science.  What is data science? By Mike Loukides and Six months after “What is data science?” by Mac Slocum O’Reilly Radar are worth reading and giving some serious thought to.  O’Reilly also has also created a free report titled What is Data Science, which can be downloaded here.

Authors Mike Loukides and Mac Slocum set the foundation for how transformational data science has the potential of being by concentrating on the nascent area of data products.  A data product is the result of accessing, aggregating and transforming content regardless of its location – and capturing data on its attributes – not just the data itself. Both authors point to reference systems and guided reference engines on e-commerce sites as just the beginning.  Yet after reading their assessments and listening to Roger Magoulas, O’Reilly’s Director of Research, interviewed about data science below there are many more potential uses of this evolving area.

Potential Impact of Data Science on Analytics

The blog posts by Mike Loukides and Mac Slocum go into detail explaining how each area of data science is in varying levels of maturity.  After reading these over and considering the big data problems in cloud-based analytics, CRM, search, supply chain management and logistics, the following methodology starts to make sense:

Access – For data science to realize its full potential there needs to be a technology layer that provides for real-time access to structured and unstructured content both within and outside an enterprise.  More than a traditional Enterprise Application Integration (EAI) layer the technologies driving data access need to selectively pull all available content from every unstructured and structured data source available.  Mike Loukides mentions Google Goggles and how MapReduce has made this application possible.  Hadoop as a means to create greater access across federated content has much potential in this phase as well.

Aggregate – Called data conditioning by Mike Loukides, the aggregation phase is where contextual discovery happens.  This could be accomplished through contextual search filters, taxonomies defined by specific alerts, or the use of the MapReduce and Hadoop query and relevance tools in use today.

Transform – Where Hadoop could be used for driving data analysis and as Mike Loukides calls this level of analysis, data jiujitsu.   Examples are mentioned by both Mike Loukides and Mac Slocum including the Hadoop Online Prototype (HOP), which does real-time stream processing and several others.  The impact of the access, aggregate and transform methodology on visualization is available at Flowing Data, one of the best sites on the Web for seeing how MapReduce, Hadoop and other data science-related techniques are taking on massive amounts of data and delivering insights.

Conclusion

Solving the big data problems of social media monitoring, sentiment analysis, forming a scalable platform for social CRM, integrating CRM, supply chain management and logistics data to demand management – and tying all of these areas to financial performance – is potentially achievable with data science.  Deployed as a cloud-based platform opens up even greater potential for getting the most use of social networks, free data sources, and third-party databases than is possible today.

Be sure to check out the video below of Roger Magoulas, O’Reilly’s Director of Research, where he was interviewed about data science.

Article links:

What is data science? By Mike Loukides  O’Reilly Radar
Six months after “What is data science?”  by Mac Slocum O’Reilly Radar

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