Mark Smith's Analyst Perspectives

Location Analytics Delivers Geographic Insights

Posted by Mark Smith on Mar 3, 2014 8:54:04 PM

Adding geographic and location context to business information enables organizations to develop fuller understanding and optimize the activities of people that use the information. We call this location intelligence, and to achieve it requires location analytics, which focus on that context where the processing and presentation of geography and spatial aspects of data are utilized. Analysis of geographic information can provide business insights that help organizations make better business decisions. I have written about this new generation of location analytics previously and noted that it can provide fresh analytic perspectives on information collected and integrated from in-house applications and across the Internet.

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Topics: Big Data, Customer Analytics, GIS, Location Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Cloud Computing, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

Wearable Computing is in Fashion and Ready for Business

Posted by Mark Smith on Feb 26, 2014 7:30:55 AM

In the near future, technology will be something we wear or attach comfortably to our bodies. Wearable computers have been evolving for some time, and while that might seem futuristic to the uninformed, in the technology industry it is rapidly becoming real. This trend is important for businesses to note, as our business technology innovation research shows that it is very important to more than half (56%) of organizations to find methods to use technology innovation to support both business processes and their people. Mobile technology is the third-most important innovative technology, after analytics and collaboration, and innovators will use all three together. Many organizations focus on acquiring and retaining the best possible workforce, which after all is their most valuable asset.

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Topics: Big Data, Social Media, HCM, Human Capital Management, Operational Performance Management (OPM), Wearable Computing, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Talent Management, Workforce Performance Management (WPM)

Oracle Modernizes HR with Mobile and Wearable Computing

Posted by Mark Smith on Feb 22, 2014 6:43:03 AM

At Oracle’s first-ever HCM World conference, the technology company demonstrated its commitment to human resources customers, explaining its strategy for Modern HR in the Cloud, which is focused on meeting the needs of employees in a large, dispersed workforce. The conference was insightful both intellectually and practically in its discussions of how workforces are changing. Oracle also showed its commitment by having both President Mark Hurd and CEO Larry Ellison present keynotes. This was the first time both have addressed a conference other than the flagship Oracle OpenWorld. It is worth watching the replays of their talks, which reveal the company’s motivation and investment in human capital management (HCM). In developing its HCM products Oracle has in mind multigenerational workforces that require software that is adaptable to people, competencies and new technologies such as mobile devices and social collaboration and recognizes the imperative to access workforce information and analytics immediately. The rebranded Oracle HCM Cloud Service has gained significant momentum, as my colleague Stephan Millard pointed out in his recent analysis of Oracle’s HCM portfolio. Taking a global approach it supports users in 196 countries, 34 languages and multiple currencies and operates entirely in a cloud environment.

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Topics: Big Data, Social Media, Human Capital Analytics, Human Capital Management, Operational Performance Management (OPM), Recruiting, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Oracle, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), HR, Information Applications (IA), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Talent Management, Workforce Management, Workforce Performance Management (WPM)

Big Data Offers Business Opportunity for Information Optimization in 2014

Posted by Mark Smith on Jan 27, 2014 9:10:32 AM

Businesses are always looking for ways to grow and to streamline their operations. These two goals can come into conflict because as organizations become larger it becomes more complicated to be agile and efficient. To help them understand and modify their processes, businesses can derive insights from analytics applied to their data. Today that data is available not only in the enterprise and cloud computing environments but also from the Internet. To collect, process and analyze it all is a challenge, one that an increasing number of organizations are meeting through the use of big data technologies. The resulting insights can help them make strategic business decisions such as where to focus efforts and how to engage with customers. At Ventana Research we have been working hard to understand the advancing technology that supports big data and its value through information optimization and bring clarity to the industry through our research and analysis of trends and products. There are many opinions about big data and fixation on the attributes of it through the V’s (volume, variety and velocity) and how to use it, often biased toward one technology or vendor; our research and analysis of the entire market cuts through the noise to provide not just facts but insights on best practices and methods to apply this technology to business problems.

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Topics: Big Data, Social Media, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

IBM Bets a Billion to Mobilize Watson Business Unit and Monetize Cognitive Computing

Posted by Mark Smith on Jan 13, 2014 8:04:48 AM

With much fanfare and a rarely seen introduction by CEO Ginni Rometty, IBM launched IBM Watson as a new business unit focused on cognitive computing technology and solutions, now being led by Senior Vice President Mike Rhodin. The announcement is summarized here:. Until now IBM Watson was important but had neither this stature in IBM’s organizational structure nor enough investment to support what the company proclaims is the third phase of computing. As IBM tells it, computing paradigms began with the century-old tabular computing, followed by the age of programmatic computing, in which IBM developed many products and advancements. The third phase is cognitive computing, an area in which the company has invested significantly to advance its technology. IBM has been on this journey for some time, long before the IBM Watson system beat humans on Jeopardy!. Its machine-learning efforts started with the IBM 704 and computer checkers in the 1950s, followed by decades of utilizing the computing power of the IBM 360 mainframe, the IBM AS/400, the IBM RS/6000 and even IBM XT computers in the 1980s. Now IBM Watson is focused on reaching the full potential of cognitive computing.

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Topics: Big Data, Social Media, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Cognitive Computing, Customer Performance Management (CPM), Discovery, Exploration, Financial Performance Management (FPM), IBM Watson, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

Research Agendas for 2014: Optimizing the Use of Technology for Business

Posted by Mark Smith on Jan 8, 2014 7:50:02 AM

Greetings, everyone, and best wishes for a great start to 2014. In this new year, utilizing best practices and skills learned in 2013 will be critical for optimizing the use of efforts to support both business and IT. In 2013 many organizations made progress in balancing technology decisions across business and IT as the lines of business continued to take leading roles in investment and prioritization. Major investments were made in business applications using software as a service, business analytics and mobile computing applications. In some other areas of innovation, particularly big data and social collaboration, deployments are just beginning to happen and a significant amount of projects are in experimental and proof of concept than enterprise use.

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Topics: Big Data, Social Media, Market Research, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), Location Intelligence, Operational Intelligence, Business Performance Management (BPM), CFO, COO, Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Technology, Workforce Performance Management (WPM)

Ventana Research Technology Innovation Awards Are More Than Cool

Posted by Mark Smith on Aug 31, 2013 1:33:58 AM

In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards and determine the vendors and products that have the potential to drive change in the market, the competitiveness of an organization’s business and sometimes just how efficiently a company operates. Our firm believes that Innovation can come from any size technology vendor from the smallest to the largest that are measured on a spectrum of attributes that contribute to the specific impact of the technology.

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Topics: Big Data, Datameer, Mobile, Sales, Social Media, Sustainability, Customer, ESRI, Globoforce, GRC, HCM, Kronos, Kyriba, Location Analytics, Marketing, NetBase, Office of Finance, Operational Performance Management (OPM), Overall Operational Leadership, Peoplefluent, Planview, SQLstream, VMWare, VPI, IT Analytics & Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, CIO, Cloud Computing, Collaboration, Governance, Risk & Compliance (GRC), Hortonworks, IBM, Informatica, Information Builders, Information Management, Information Technology, KXEN, Location Intelligence, Operational Intelligence, Oracle, Business Performance Management (BPM), Contact Center, Customer Performance Management (CPM), Datawatch, Financial Management, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, IT Performance Management (ITPM), Johnson Controls Panoptix, Roambi, Sales Performance Management (SPM), Service & Supply Chain, Supply Chain Performance Management (SCPM), Upstream Works, Vertex, Workforce Performance Management (WPM), Xactly

Anaplan Innovates Business Modeling and Planning

Posted by Mark Smith on May 29, 2013 11:07:43 AM

Anaplan’s software is designed to help organizations across finance, sales and operations improve accuracy, timeliness and collaboration in their business analytics and planning. I recently attended the company’s first user conference, Hub 2013, in San Francisco, which featured customer success stories and latest on product information. Anaplan has built its business on the subtleties of modeling and planning that are shared between sales, operations and finance departments, and it enables them to apply analytics to projections in revenue, sales, forecasting, territory planning, commissions, quotas and profitability – areas that are intertwined through many business processes. Anaplan’s team has more than decades of experience in the analytics and planning software markets that has led to its devised cloud-based, in-memory computing software.

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Topics: Big Data, Planning, FP&A, Modeling, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Cloud Computing, Business Performance Management (BPM), CFO, Customer Performance Management (CPM), finance, Financial Performance Management (FPM), Sales Performance Management (SPM), Sales Planning, Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

SAP HANA is Technology Platform of Choice for SAP

Posted by Mark Smith on May 21, 2013 10:05:53 AM

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 application 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.

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Topics: Big Data, Predictive Analytics, SAP, Social Media, Teradata, Mobile Technology, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), HP, Business Performance Management (BPM), CFO, CMO, Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), SAP EPM, SAP HANA, SAP Lumira, SAPPHIRE, Supply Chain Performance Management (SCPM), Tagetik, Workforce Performance Management (WPM)

Four Types of Discovery Technology For Using Big Data Intelligently

Posted by Mark Smith on May 7, 2013 9:42:17 AM

Information technology for business is changing rapidly as organizations demand innovation to help them discover insights and facts. Our research into business technology innovation found analytics to be the top priority in 39 percent of organizations. Businesses feel pressure to be better, faster and smarter in operating processes, and understanding their various types of information is a key to success. Businesses are looking to capture value from all types of information both within the enterprise and on the Internet. In this context technology providers are now using the term “discovery” to capture potential buyers’ attention; it became an area for technology spending in 2012 and likely will be for years to come. In fact my colleague Tony Cosentino has identified discovery as one of the four pillars of big data analytics.

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Topics: Big Data, Event discovery, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, CIO, Information Management, Location Intelligence, Operational Intelligence, Visualization, Business Performance Management (BPM), Customer Performance Management (CPM), Data, Data Discovery, Financial Performance Management (FPM), Information Applications (IA), Information Discovery, Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)