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)

MicroStrategy Reveals New Generation of Analytics for Cloud and Mobile Computing

Posted by Mark Smith on Feb 18, 2014 8:18:32 AM

At its recent MicroStrategy World 2014 conference, the enterprise software company introduced a portfolio of products to make it easier to perform analytics and make them easier to access through the cloud and mobile forms of computing. These announcements accelerate MicroStrategy’s transition to approaching corporate business users of analytics from its past focus on business intelligence, which typically is purchased by IT. This is a subtle but strategic shift that recognizes where growth opportunities lie and that analytics must be available on any device at any time. MicroStrategy made it clear that advances in the cloud, mobility and big data were integral to its product releases last year and is continuing in this direction in 2014 with the products in its MicroStrategy 9.4 suite.

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Topics: Big Data, MicroStrategy, Mobile, Social Media, Customer Engagement, Operational Performance Management (OPM), Smart Phones, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Information Applications (IA), Tablets

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

Rationalizing the Tyranny of Visual Anarchy

Posted by Mark Smith on Aug 28, 2013 9:42:27 AM

It has become evident from the advancements we’ve seen in the business analytics market that the use of visualization is now becoming mainstream. In my analysis of the market last year I wrote about the pathetic state of dashboards, where the assumption in the business intelligence software industry is that placing four to six charts or tables of data in a screen and publishing to business users can create business intelligence. That assumption has yet to be proven and is completely irrational, as presenting analytics in basic charts does little to provide context and a guide for taking actions and making decisions.

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Topics: Analytics, Business Analytics, Business Intelligence, Location Intelligence, Operational Intelligence, Visualization, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM)

Datawatch Acquires Panopticon for Big Data Discovery and Visualization across Business Processes

Posted by Mark Smith on Jun 20, 2013 9:31:17 AM

Business analytics can help organizations use data to find insights that lead to new opportunities and address issues unrecognized before. One player in this market is Datawatch, known for its tools for information optimization and harvesting value from big data including content and documents. I assessed the company earlier this year, and recently our firm recognized its customers’ achievements with 2013 Ventana Research Leadership Awards for Information Optimization with Phelps County Regional Medical Center and Governance, Risk and Compliance (GRC) with The Fauquier Bank.

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Topics: Big Data, SAP, GRC, Office of Finance, Operational Performance Management (OPM), Panopticon, Analytics, Business Intelligence, Information Management, Operational Intelligence, Business Performance Management (BPM), CEP, Customer Performance Management (CPM), Datawatch, Discovery, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, Sales Performance Management (SPM), SAP HANA, Supply Chain Performance Management (SCPM)

Teradata Brings In-Memory Computing and Data Discovery to Big Data

Posted by Mark Smith on May 8, 2013 11:19:41 PM

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 of 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.

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Topics: Big Data, MicroStrategy, SAS, Tableau, Teradata, Customer Excellence, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, CIO, Cloud Computing, In-Memory Computing, Location Intelligence, Operational Intelligence, CMO, Customer Performance Management (CPM), Discovery, Information Applications (IA), Information Management (IM), Intelligent Memory, Teradata Aster, Strata+Hadoop