Mark Smith's Analyst Perspectives

Informatica Unveils New Platform and Tools for Information Optimization

Posted by Mark Smith on Jun 3, 2014 9:09:20 AM

At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization.

Read More

Topics: Big Data, Master Data Management, Operational Performance Management (OPM), Business Analytics, Business Intelligence, CIO, Cloud Computing, Data Integration, Data Management, Informatica, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM), application

Pitney Bowes Brings New Software for Better Business Insights

Posted by Mark Smith on May 19, 2014 10:17:25 AM

I recently attended the 2014 global analyst summit in San Francisco hosted by Pitney Bowes, an old technology company (now in business for 94 years) that has a new focus in its software along with an entirely new executive team. These leaders unveiled a business and technology strategy meant to demonstrate the company’s commitment to software. For many years it has been known mostly for mail services and postage metering, but Pitney Bowes also has made investments in software that can help companies change their business processes by optimizing their information assets. Over the past few years the company has had its ups and downs as regards its corporate mission, as I wrote in 2012. Most of the turmoil was due to conflicting agendas from past management, but other factors were the company was not as clear in communicating the value of its combined software portfolio and not capitalizing on the demand in lines of business and IT for information management and analytics software.

Read More

Topics: Big Data, Social Media, Operational Performance Management (OPM), Pitney Bowes, Business Analytics, Business Intelligence, Cloud Computing, Location Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

Successful Sales Forecasting Requires Dedicated Technology

Posted by Mark Smith on Apr 23, 2014 9:44:02 AM

Sales forecasting is an essential process for most businesses. It helps guide the efforts not only of the sales function but also of finance, operations, manufacturing and customer service. Our recently released sales forecasting benchmark research reveals significant insights and best practices that can help companies optimize the effectiveness of this process. I recently wrote that most sales organizations need to make significant changes to the way they do sales forecasting. In that analyst perspective, I examined aspects of technology that can make sales forecasting a much more efficient process than it is in most organizations that use software not designed for sales forecasting.

Read More

Topics: Sales, Operational Performance Management (OPM), Sales Forecasting, Business Analytics, Business Intelligence, Cloud Computing, Information Applications (IA), Sales Performance Management (SPM), SFA

Equifax Delivers Insightful Analytics for Compliance with Affordable Care Act

Posted by Mark Smith on Apr 9, 2014 2:56:03 AM

Pressure to comply with requirements of the Affordable Care Act (ACA) is a looming challenge for most organizations today. Many go through numerous manual iterations such as running reports and compiling data into spreadsheets from benefits, payroll and HR systems to calculate whether their employees are eligible. As my colleague Stephan Millard explains in “Is Your Organization Technology Ready for the Affordable Care Act?”, the ACA applies to organizations with 50 or more full-time employees who work more than 30 hours a week; individuals not covered by an employer can get insurance through the government. There are a great many details for employers to address in the ACA, and most HR departments lack a smooth process and effective technology to generate the information to determine compliance.

Read More

Topics: Big Data, Equifax, Human Capital Analytics, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Cloud Computing, Business Performance Management (BPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Workforce Performance Management (WPM)

Technology Makes a Difference for Location Analytics

Posted by Mark Smith on Apr 1, 2014 12:48:46 AM

Our latest benchmark research into the market for location analytics software finds significant demand for location-related technology that can improve business outcomes and generate relevant information for various types of users. (Location analytics is an extension of business analytics that can enhance the sophistication of data and processes by adding a geographic context.)  My last analyst perspective on this topic discussed the business value of insights based on geography and what organizations are doing to advance their efforts here. Our research also shows, however, that most still lack satisfaction and confidence in using the technology. Just 12 percent of all participants said they are very satisfied with the location information and analytics available in their organization. Further analysis shows that satisfaction increases with use of a dedicated application for location analytics: 71 percent of those are satisfied or very satisfied, substantially more than those using location analytics within a BI tool (22%); findings are similar for both B2B and B2C use. We find similar levels of confidence in the quality of location information: 15 percent of those using a dedicated application are very confident in their location analytics. Confidence in the reliability of such information is essential to more organizations adopting location analytics.

Read More

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

Cloudera Makes Hadoop a Big Player in Big Data

Posted by Mark Smith on Mar 24, 2014 9:09:43 PM

I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop. The Hadoop technology has brought to the market an integration of computing, memory and disk storage; Cloudera has expanded the capabilities of this open source software for its customers through unique extension and commercialization of open source for enterprise use. The importance of big data is undisputed now: For example, our latest research in big data analytics finds it to be very important in 47 percent of organizations. However, we also find that only 14 percent are very satisfied with their use of big data, so there is plenty of room for improvement. How well Cloudera moves forward this year and next will determine its ability to compete in big data over the next five years.

Read More

Topics: Big Data, Teradata, Zoomdata, Business Intelligence, Cloudera, Hortonworks, IBM, Location Intelligence, Operational Intelligence, Oracle, Hive, Impala, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Strata+Hadoop

Oracle Has Sunny Forecast for Cloud Computing

Posted by Mark Smith on Mar 20, 2014 9:36:09 AM

At Oracle’s recent cloud computing analyst summit in sunny Palm Springs, the company’s executive team insisted that it sees clear skies for its efforts in cloud computing. The summit was led by senior executive Thomas Kurian, who runs the entire product organization and reports directly to CEO Larry Ellison. He affirmed that Oracle intends to offer the full range of cloud computing – public, private and hybrid models – to its customers and partners. As one of the world’s largest software suppliers Oracle has much at stake to make its database and all tools and applications available in these cloud environments, including managed cloud services. Our business technology innovation research shows this is a smart bet. Cloud computing is important or very important to 57 percent of organizations, and more than half (55%) of cloud users have been using it for more than a year. I noted in 2013 that simplifying IT and innovating in business are key to its software strategy, and Oracle’s efforts since then have executed on this outline.

Read More

Topics: Big Data, Database, Microsoft, SaaS, Social Media, Software as a Service, Middleware, Operational Performance Management (OPM), Oracle Cloud, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, IBM, Oracle, Business Performance Management (BPM), Customer Performance Management (CPM), Database as a Service, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Verizon, Workforce Performance Management (WPM)

SAS Unifies Big Data for Business and IT

Posted by Mark Smith on Mar 12, 2014 6:45:57 AM

Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known globally for its analytics software. Recently it has become a more significant presence in data management as well. SAS provides applications for various lines of business and industries in areas as diverse as fraud prevention, security, customer service and marketing. To accomplish this it applies analytics to what is now called big data, but the company has many decades of experience in dealing with large volumes of data. Recently SAS set a goal to be the vendor of choice for the analytic, data and visualization software needs for Hadoop. To achieve this aggressive goal the company will have to make significant further investments in not only its products but also marketing and sales. Our benchmark research on big data analytics shows that three out of four (76%) organizations view big data analytics as analyzing data from all sources, not just one, which sets the bar high for vendors seeking to win their business.

Read More

Topics: Big Data, Predictive Analytics, SAS, Event Stream, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, CIO, Data Management, Information Management, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Discovery, Information Applications (IA), Information Management (IM)

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.

Read More

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)

The Sales Forecast Requires Commitment not Status Quo

Posted by Mark Smith on Feb 27, 2014 8:03:07 AM

In today’s highly competitive sales environment, where success depends on meeting the specific needs of buyers, an accurate and timely sales forecast is a critical tool for optimizing business outcomes. I discussed this as part of our 2014 research agenda for sales, noting that linking the forecast to commissions, quotas and territories is a requirement for success. We recently completed new benchmark research on sales forecasting to ascertain the state of the processes and technology sales organizations use. This research continues to find less than adequate efforts by organizations to improve their sales forecasting process and insufficient information about the full revenue potential from accounts and customers.

Read More

Topics: Big Data, Sales, Operational Performance Management (OPM), Sales Forecasting, Sales Operations, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), SFA, Supply Chain Performance Management (SCPM)