Mark Smith's Analyst Perspectives

SnapLogic is Making Big Data Integration as a Service a Hadoop Reality

Posted by Mark Smith on Mar 1, 2013 10:11:12 AM

SnapLogic, a provider of data integration in the cloud, this week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. As our research agenda for 2013 outlines, dealing with data in the cloud is very important to organizations. At the same time, businesses need to be able to integrate their big data with all their technology assets, as I pointed out recently.

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Topics: Big Data, R, Salesforce.com, Operational Performance Management (OPM), SnapLogic, Business Analytics, Cloud Computing, Cloudera, Data Integration, Information Management, Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM)

Big Data is Broken Without Integration

Posted by Mark Smith on Feb 21, 2013 5:33:04 PM

Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storagetechnologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety, velocity and volume of big data being part of today’s information architecture, and the potential for big data to be a source to feed other systems, integration should be a top priority.

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Topics: Big Data, Data Quality, Master Data Management, Business Analytics, Cloud Computing, Data Integration, Information Management, Operational Intelligence, Information Applications (IA), Information Management (IM)

New Generation of Location Analytics

Posted by Mark Smith on Feb 14, 2013 9:17:19 AM

Business analytics have become mainstream in most organizations. Our latest research in technology innovation found analytics was the top-ranked technology in 39 percent of organizations. To deepen the sophistication of their analytics, businesses can add geographic context and maps to business intelligence applications to create what we call location intelligence. Applications and tools with a geographic and spatial context can help deliver new and deeper insights to business. Information about location or geography can improve the quality of actions, decisions and responses to opportunities, and enable organizations to understand more about their customers. It also can help companies gain critical business insights, make better decisions and optimize performance and processes. It can benefit marketing, customer acquisition and retention efforts; logistics and supply chain management; and financial and operational decisions, especially about where to place retail outlets, business assets and people in various functions.

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Topics: Social Media, Geographic Information Systems, GIS, Location Analytics, Operational Performance Management (OPM), Spatial Data Quality, Business Analytics, Business Intelligence, Cloud Computing, Information Management, Location Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM)

Pitney Bowes Advances Spectrum for Information Management

Posted by Mark Smith on Feb 12, 2013 8:24:32 AM

Managing data efficiently across the enterprise continues to be a large challenge for both business units and IT. Organizations need data supplied in a consistent format and timely manner to help manage their activities and processes, but some do not look beyond conventional approaches to improvement. Today’s large volumes of data make it more difficult to understand the relationships among data and the role of location-related data. Our 2012 benchmark research on information management found that most organizations need to advance their data initiatives and take steps to integrate them.

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Topics: Big Data, Master Data Management, Social Media, MDM, Operational Performance Management (OPM), Business Analytics, Business Intelligence, Cloud Computing, Data Governance, Information Management, Location Intelligence, Customer Performance Management (CPM), DG, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM)

The Secrets to Big Data and Information Optimization Revealed in 2013 Research Agenda

Posted by Mark Smith on Jan 16, 2013 3:09:37 PM

Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an outcome-based view that can handle the time–to-value urgency found in business. Big data analytics can help assess the volume of data, while the velocity of data that is potentially in-motion is best handled by what we call operational intelligence. Beyond these, techniques and technology such as predictive analytics and visual discovery facilitate extracting more value from big data. Along with a wide variety of data, these tools help organizations focus on optimizing information assets. We will soon conduct benchmark research into information optimization to determine how organizations are dealing with their information today and what steps they are taking to improve. In-memory computing will surely be one of those steps, as it can significantly improve the time-to-insight equation.

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Topics: Big Data, Master Data Management, Predictive Analytics, MDM, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, CIO, Cloud Computing, Data Governance, Data Integration, Information Management, Location Intelligence, Operational Intelligence, Information Applications (IA), Information Management (IM), Product Information Management, Sales Performance Management (SPM), Workforce Performance Management (WPM)

Product Information Management is for Business

Posted by Mark Smith on Dec 4, 2012 11:23:19 AM

To maximize the potential of their investments, businesses must manage product information, yet for many businesses product information is scattered and duplicated in many systems, which leads to duplication of effort, incorrect information about product descriptions and prices and improper tracking of products, all of which increase costs and waste time. At the same time, for marketing products and streamlining their distribution through sales channels, making product information accessible to consumers through smartphones and tablets is essential.

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Topics: Big Data, Master Data Management, Sales, Operational Performance Management (OPM), CIO, Information Management, Business Performance Management (BPM), Commerce, Customer Performance Management (CPM), Information Management (IM), Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

Informatica Optimizes Data Integration for Big Data and Cloud Computing

Posted by Mark Smith on Nov 21, 2012 10:48:05 AM

The technology ecosystems are expanding rapidly and the use of big data and cloud computing challenge organizations to process information efficiently and deliver consistent high-quality data. To address these issues, Informatica has introduced two new offerings.

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Topics: Big Data, Social Media, Operational Performance Management (OPM), Business Analytics, Cloud Computing, Data Integration, Informatica, Information Management, Business Performance Management (BPM), Information Applications (IA), Information Management (IM), Strata+Hadoop

The Big Data in Teradata

Posted by Mark Smith on Oct 29, 2012 11:11:12 AM

At the recent Teradata’s annual Partners user conference, the company outlined its expanding role as a provider distributed information architecture technology. My colleague Tony Cosentino assessed Teradata’s business analytics and big data strategy, but there is more under the covers in regards to the company’s expanding role for big data and enterprise architectures. Over the last several decades Teradata has been known for providing enterprise data warehouse appliances, such as its unveiling of its new Teradata 2700 data warehouse appliance, which uses the latest multicore Intel processors. Now, as organizations continue to invest in distributed approaches in which they store and utilize data on a range of appliances and through Hadoop-based big data technology, Teradata has begun to provide integration with Hadoop, including a direct connector to it and commercialized versions of it in partnership with Cloudera and Hortonworks.  Earlier this year, for instance, Teradata formed a partnership with Hortonworks that provides a commercialized edition of the open source Hadoop that now is further integrated.

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Topics: Big Data, QlikView, SAS, alteryx, Business Analytics, Hortonworks, Information Management, Location Intelligence, Operational Intelligence, Information Management (IM), IT Performance Management (ITPM), Strata+Hadoop

Plumbing the Salesforce Clouds is Your Business

Posted by Mark Smith on Sep 25, 2012 11:26:54 AM

Salesforce is a global software-as-a-service (SaaS) company to be reckoned with. The swarming crowds at its Dreamforce event last week were estimated to exceed 90,000. The company is rapidly growing an ecosystem that includes Sales, Service and Marketing Clouds; Force.com for building applications; and Data.com for storing data in the cloud centrally for use across Salesforce products. It is also focusing on social computing, as I outlined at the beginning of the event. Hundreds of Salesforce partners complement and in some cases compete with the company with a large range of applications and tools available on the Salesforce AppExchange.

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Topics: Big Data, Master Data Management, Salesforce.com, Social Media, Operational Performance Management (OPM), SnapLogic, Zyme Solutions, Business Analytics, Business Intelligence, CIO, Cloud Computing, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Informatica, Information Builders, Information Management, Business Performance Management (BPM), Customer Performance Management (CPM), Data, data integrity, database.com, IT Performance Management (ITPM), Kapow, Sales Performance Management (SPM)

Look Who’s Hot in Data Integration for 2012

Posted by Mark Smith on Sep 7, 2012 11:54:05 AM

Ventana Research has just released the 2012 Value Index for Data Integration, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in information management found that data integration is a critical component of information management strategies, according to 55 percent of organizations. Our benchmark research on organizations using this software not only uncovers best practices and trends, but it also highlights why IT is using data integration to advance its competencies across people and processes.

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Topics: Big Data, Master Data Management, Microsoft, Pentaho, SAP, SAS, Social Media, Talend, Operational Performance Management (OPM), SnapLogic, Business Analytics, Business Collaboration, Business Mobility, Cloud Computing, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), IBM, Informatica, Information Builders, Information Management, Location Intelligence, Oracle, 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), Syncsort, Workforce Performance Management (WPM)