Mike Gualtieri

Prescriptive analytics is about using data and analytics to improve decisions and therefore the effectiveness of actions. Isn't that what all analytics should be about? We heartily say "yes" — if analytics does not lead to more informed decisions and more effective actions, then why do it at all? Our research indicates that prescriptive analytics is not a specific type of analytics but rather an umbrella term for many types of analytics that can improve decisions. AD&D professionals should read… Show more

Prescriptive analytics is about using data and analytics to improve decisions and therefore the effectiveness of actions. Isn't that what all analytics should be about? We heartily say "yes" — if analytics does not lead to more informed decisions and more effective actions, then why do it at all? Our research indicates that prescriptive analytics is not a specific type of analytics but rather an umbrella term for many types of analytics that can improve decisions. AD&D professionals should read this report to learn how to act on enterprise insights. Show less

Artificial intelligence is not new. It emerged as a computer science discipline in the '50s and has been a persistent theme in science fiction. What is new now is that billions of dollars are flowing into AI startups and software development efforts by both the internet heavies and enterprise software vendors alike. It promises to be the technology Valhalla for AD&D pros who wish to use it to transform or invent new business models by infusing applications with intelligence. Read this report to… Show more

Artificial intelligence is not new. It emerged as a computer science discipline in the '50s and has been a persistent theme in science fiction. What is new now is that billions of dollars are flowing into AI startups and software development efforts by both the internet heavies and enterprise software vendors alike. It promises to be the technology Valhalla for AD&D pros who wish to use it to transform or invent new business models by infusing applications with intelligence. Read this report to understand the pragmatic building blocks you can use today to add AI to your applications Show less

Blazing fast application performance — it's what customers want and what every application development professional (AD&D) needs to deliver. There is no better way to achieve it than to use random access memory (RAM), which will give you low latency data access combined with distributed computing for reliability and scale. Start here with Forrester's 32-criteria evaluation of 11 in-memory data grid (IMDG) products from vendors: Alachisoft, GigaSpaces, GridGain Systems, Hazelcast, IBM, Oracle… Show more

Blazing fast application performance — it's what customers want and what every application development professional (AD&D) needs to deliver. There is no better way to achieve it than to use random access memory (RAM), which will give you low latency data access combined with distributed computing for reliability and scale. Start here with Forrester's 32-criteria evaluation of 11 in-memory data grid (IMDG) products from vendors: Alachisoft, GigaSpaces, GridGain Systems, Hazelcast, IBM, Oracle, Pivotal Software, Red Hat, ScaleOut Software, Software AG, and TIBCO Software. Show less

Good news! Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs. In Forrester's 45-criteria evaluation, we identified 13 big data predictive analytics solutions providers — Alpine Data Labs, Alteryx, Angoss Software, Dell, FICO, IBM, KNIME.com, Microsoft, Oracle, Predixion Software, RapidMiner, SAP, and SAS — and researched, analyzed, and scored their current market offerings. This report details our… Show more

Good news! Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs. In Forrester's 45-criteria evaluation, we identified 13 big data predictive analytics solutions providers — Alpine Data Labs, Alteryx, Angoss Software, Dell, FICO, IBM, KNIME.com, Microsoft, Oracle, Predixion Software, RapidMiner, SAP, and SAS — and researched, analyzed, and scored their current market offerings. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help application development and delivery (AD&D) professionals select the right solution to grace their enterprise with the power to predict. Show less

Apache Spark is an open source cluster computing platform designed to process big data as efficiently as possible. Sound familiar? That's what Hadoop is designed to do. However, these are distinctly different, but complementary, platforms. Hadoop is designed to process large volumes of data that lives in an Hadoop distributed file system (HDFS). Spark is also designed to process large volumes of data, but much more efficiently than MapReduce, in part, by caching data in-memory. But, to say that… Show more

Apache Spark is an open source cluster computing platform designed to process big data as efficiently as possible. Sound familiar? That's what Hadoop is designed to do. However, these are distinctly different, but complementary, platforms. Hadoop is designed to process large volumes of data that lives in an Hadoop distributed file system (HDFS). Spark is also designed to process large volumes of data, but much more efficiently than MapReduce, in part, by caching data in-memory. But, to say that Spark is just an in-memory data processing platform is a gross oversimplification and a common misconception. It also has a unique development framework that simplifies the development and efficiency of data processing jobs. You'll often hear Hadoop and Spark mentioned in the same breath. That's because, although they are independent platforms in their own right, they have an evolving, symbiotic relationship. Application development and delivery professionals (AD&D) must understand the key differences and synergies between this next-generation cluster-computing power couple to make informed decisions about their big data strategy and investments. Show less

Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of "Hadooponomics," Hadoop's current killer app, the closing data management gap, and the emergence of brand new… Show more

Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of "Hadooponomics," Hadoop's current killer app, the closing data management gap, and the emergence of brand new distros. Show less

Sir Francis Bacon, an 18th-century founder of the modern scientific method, famously argued that "Knowledge is power." With all due respect to this great scientist, in the 21st century, "Prediction is power." It's the power all firms need to strengthen their BT agenda, helping them transform their technology, systems, and processes to win, serve, and retain customers. Predictive analytics is a key capability to make better decisions, avoid risks, and create differentiated, more individualized… Show more

Sir Francis Bacon, an 18th-century founder of the modern scientific method, famously argued that "Knowledge is power." With all due respect to this great scientist, in the 21st century, "Prediction is power." It's the power all firms need to strengthen their BT agenda, helping them transform their technology, systems, and processes to win, serve, and retain customers. Predictive analytics is a key capability to make better decisions, avoid risks, and create differentiated, more individualized customer experiences. Predictive models may lie in your data — but only if you look for them. That's what predictive analytics is all about. Every application development and delivery (AD&D) professional and every technology management leader should know what predictive analytics is. This report gets AD&D professionals up to speed quickly so that they can lead the charge Show less

Streaming analytics is anything but a sleepy, rearview mirror analysis of data. No, it is about knowing and acting on what's happening in your business at this very moment — now. Forrester calls these perishable insights because they occur at a moment's notice and you must act on them fast within a narrow window of opportunity before they quickly lose their value. The high velocity, white-water flow of data from innumerable real-time data sources such as market data, Internet of Things, mobile,… Show more

Streaming analytics is anything but a sleepy, rearview mirror analysis of data. No, it is about knowing and acting on what's happening in your business at this very moment — now. Forrester calls these perishable insights because they occur at a moment's notice and you must act on them fast within a narrow window of opportunity before they quickly lose their value. The high velocity, white-water flow of data from innumerable real-time data sources such as market data, Internet of Things, mobile, sensors, clickstream, and even transactions remain largely unnavigated by most firms. The opportunity to leverage streaming analytics has never been greater. In Forrester's 50-criteria evaluation of big data streaming analytics platforms, we evaluated seven platforms from IBM, Informatica, SAP, Software AG, SQLstream, Tibco Software, and Vitria. Show less

Customers are flocking to apps that use more personal information because they find them intensely valuable. However, at the same time, many people think its creepy how much detailed information about their personal lives companies collect and use. Creepy marketing, creepy apps, and creepy experiences can lead to a creepy brand. That's bad. Companies that continuously ratchet up personalized, contextualized services will succeed. But, it can backfire if your customers feel that you have crossed… Show more

Customers are flocking to apps that use more personal information because they find them intensely valuable. However, at the same time, many people think its creepy how much detailed information about their personal lives companies collect and use. Creepy marketing, creepy apps, and creepy experiences can lead to a creepy brand. That's bad. Companies that continuously ratchet up personalized, contextualized services will succeed. But, it can backfire if your customers feel that you have crossed the creepiness line. Question: How can application development pros deliver intensely personal digital experiences to your customers without creeping them out? Answer: Find your customer's creepiness line but don't cross it. This report will show you how. Show less

Most apps are boring. Sensors can help. Sensors are data collectors that measure physical properties of the real-world such as location, pressure, humidity, touch, voice, and much more. You can find sensors just about anywhere these days, most obviously in mobile devices that have accelerometers, GPS, microphones, and more. You can also find them in planes, trains, automobiles, and coffee makers, too. But, most applications barely use them to the fullest extent possible. Data from sensors can… Show more

Most apps are boring. Sensors can help. Sensors are data collectors that measure physical properties of the real-world such as location, pressure, humidity, touch, voice, and much more. You can find sensors just about anywhere these days, most obviously in mobile devices that have accelerometers, GPS, microphones, and more. You can also find them in planes, trains, automobiles, and coffee makers, too. But, most applications barely use them to the fullest extent possible. Data from sensors can be the spice that adds zing to your applications and can help impress customers, make workers more efficient, and boost your career as an application development professional. This report provides a definition and foundational taxonomy of sensors that you can use to identify sensor opportunities for you to design, develop, and deliver more useful and engaging apps for your business partners and customers. Show less