Today, Pyze announces the addition of a new tier of services to its Growth Intelligence platform that augments its ability to deliver actionable business intelligence to mobile app publishers. The Pyze Hyper Growth Tier empowers mobile app publishers to transform user behavior into a dimension that can be used to more effectively understand application performance by way of the automated segmentation of users via behavioral attributes. For example, publishers of a mobile real estate app can create a dimension for first-time homeowners versus existing homeowners, or buyers interested in moving out of state vs. those that are shopping for homes locally. The newly enabled capability to create custom-defined dimensions enables mobile app users to obtain more targeted and granular insights regarding the drivers of user behavior within their app. The app dimensions within Pyze’s Hyper Growth Tier enhance the analytics enabled by Pyze’s out of the box metrics such as engagement, loyalty, attrition risk, revenue and app starts or sessions. Moreover, mobile app publishers have the ability to define new app dimensions as their app evolves in relation to its reception by end users. The graphic below illustrates the ability of the Pyze platform to deliver business intelligence about mobile app usage:
Here, the screenshot provides details about metrics such as the number of installations, application launches and user engagement. The availability of app dimensions via Pyze’s Hyper Growth Tier enables app owners to layer analytics such as those shown above with additional dimensions such as demographic data about users or other user attributes to enhance the richness of Pyze’s business intelligence even further. In conjunction with the release of app dimensions, Pyze today announces Personalization Intelligence and Revenue Intelligence that empower app publishers to deliver personalized content tailored to different user groups, including their history of revenue generation. Taken together, the release of app dimensions, Personalization Intelligence and Revenue Intelligence marks a significant set of enhancements to the Pyze platform that collectively enable mobile app publishers to derive granular business intelligence about the interaction between users and their apps and subsequently deliver more personalized content to their users. Available at a price of $99 per month for apps with less than a million users, the Pyze Growth Tier disrupts the market for mobile app business intelligence and continues to differentiate Pyze from other players in the mobile app analytics space.
On October 22, cloud-based analytics vendor Numerify announced the finalization of $37.5M in Series C funding led by Tenaya Capital. The funding raise was completed with additional participation from Sequioa Capital and Lightspeed Venture Partners and new investors in the form of the Silicon Valley Bank and Four Rivers Group. The capital raise represents powerful validation of Numerify’s business model based on a cloud-based analytics platform that delivers actionable business intelligence regarding areas such as IT infrastructures, business units and business processes. In contrast to cloud-based analytic solutions that focus on delivering data in formats that enable reporting and analytics, Numerify differentiates by using its analytics platform to identify opportunities to improve operational efficiency, reduce costs, increase revenue and enhance analytics related to risk, fraud, and threat intelligence. Gaurav Rewari, CEO and Founder of Numerify, remarked on the significance of the capital raise as follows:
As one of the first IT business analytics providers on the market, we are delighted that this space is growing so quickly. With our pre-built analytic applications in the cloud that combine domain best practices with hundreds of metrics, reports, dashboards and a unified analytical data model embracing the full sweep of IT business operations, this new investment will support us through our next phases of exponential growth.
Here, Rewari highlights the platform’s “pre-built analytic applications” that use industry-specific best practices to deliver reports and dashboards featuring metrics, KPIs and analytic insights that help optimize IT business operations. The product spans the gamut of IT operations by including processes such as HR, call center operations, finance, assets, infrastructure and project management within its analytical purview. The funding will be used to accelerate product development and expand sales and marketing operations. Thursday’s funding raise brings the total capital raised by Numerify to $60M.
On June 9, JethroData announced the finalization of an $8.1M Series B funding raise led by Square Peg Capital with additional participation from Pitango Venture Capital. The funding will be used to accelerate product development and sales and marketing initiatives for the company’s breakthrough SQL on Hadoop offering. As told to Cloud Computing Today in a phone interview with JethroData CEO Eli Singer, the company’s SQL on Hadoop platform differentiates itself from the landscape of SQL interfaces for Hadoop by way of its superior performance with respect to querying Hadoop-based data. The JethroData platform derives its exceptional performance by indexing Hadoop data and subsequently limiting queries only to rows of data containing the relevant indices. Rather than querying the entire cluster, JethroData’s queries hone in on the subset of Hadoop data containing the relevant index attributes and thereby delivers results in a fraction of the time required by its competitors. For the use case of constructing predictive modeling algorithms, however, JethroData queries the entire Hadoop dataset in question as opposed to a subset for the purpose of creating models that illustrate trends and variations in data points and various aggregations. The platform’s design supports interactive business intelligence applications that depend on rapid data refreshes for both their analytics and visualizations and, as such, integrates with the likes of Tableau, MicroStrategy and Qlik. Tuesday’s announcement of the company’s funding raise validates the company’s early traction and supports JethroData’s claim to deliver queries on the order of 100x faster than competing SQL on Hadoop platforms.
Cloud-based analytics vendor Numerify recently announced the addition of notable product enhancements to its Numerify360 for IT platform marked by solutions dedicated to the needs of managed service providers and retail and higher education institutions. In addition, Numerify revealed a slew of updates to its portfolio of products that facilitate the operation of IT as a business by enhancing its change management, location analytics, incident analysis and text analytics solutions. Unlike many IT analytics vendors that focus on infrastructure and application-related metrics such as latency and throughput, Numerify differentiates itself by building applications focused around empowering IT leadership to obtain visibility regarding its performance as a business that serves other business units within the organization. For example, Numerify’s location analytics capability enables IT to derive granular business intelligence about technology performance in different geographies to facilitate proactive interventions to mitigate technology-related disruptions. Similarly, Numerify’s change management analytics facilitate the identification of changes resulting in service interruptions to minimize the disruptive effect of changes to applications and infrastructure.
News of Numerify’s updates to its platform arrives in conjunction with company announcements of “significant growth” since its April 2014 stealth launch marked by quarterly revenue growth in the triple digits and a bevy of new customer signings. Backed by Lightspeed Venture Partners and Sequoia Capital, Numerify delivers a unique level of analytics that empowers IT to focus on the metrics that impact the satisfaction of their customers rather than remaining mired in technology-related metrics that require the imposition of another level of abstraction to understand their business value and significance. The bottom line here is that the increasing heterogeneity of contemporary IT infrastructures means that the application and infrastructure analytics space is red hot, and likely to continue burning brightly given the sprawl of on-premise, cloud-based and distributed applications. Expect Numerify to continue building on its impressive market traction in the remainder of 2015 and expanding a customer roster that currently includes Netflix, Aruba Networks and the University of San Francisco.
This Tuesday, BI vendor Jaspersoft announced the integration of its BI platform with Amazon Elastic MapReduce. As a result, customers with data stored on Amazon’s EMR platform can now take advantage of Jaspersoft’s suite of business intelligence reporting and analytics and enjoy the company’s utility based, hourly pricing model. Jaspersoft’s support of Amazon EMR represents a deepening of its relationship with Amazon Web Services (AWS) given that Jaspersoft rendered its offering available on AWS EC2 in March, with utility pricing enabled by a BI server on the AWS platform. To date, Jaspersoft has signed up over 500 Amazon Web Services customers that elected to take advantage of its utility pricing by way of the AWS Marketplace. Jaspersoft now integrates with Amazon EC2, RDS, RedShift and EMR in addition to Windows Azure, Red Hat’s OpenShift PaaS as well as Cloud Foundry. Expect Jaspersoft to continue seeding other IaaS and PaaS cloud platforms as it consolidates its strategy of using cloud platforms as a springboard for greater adoption of its open source BI platform.
Cloudmeter today announces the general availability of Cloudmeter Stream, a non-invasive platform that enables customers to transform Big Data streams of network data into actionable business intelligence. Cloudmeter also announces the early access availability of Cloudmeter Insight, a SaaS application that integrates back-end network analytics with front-end marketing analytics to deliver integrated data regarding user experiences of application platforms. Together, Cloudmeter Stream and Cloudmeter Insight expand the purview of Big Data analytics to network data and enable customers to obtain a 360 degree view of user interactions with their products. Both Cloudmeter Stream and Cloudmeter Insight allow access to network data without risks of physical disruption to network infrastructures.
Cloudmeter’s analytics represent an extension of the DevOps movement by allowing operations to more effectively understand the impact of IT infrastructure on end-user experiences. Application owners can use Cloudmeter to effectively configure business rules to determine which network data attributes constitute fields of interest. For example, customers can create business rules that identify session errors, network traffic on specific servers or data regarding the elapsed time between specific interactions with the platform. Users create business rules and manage the application more generally using an intuitive user interface featuring screens such as the following:
Cloudmeter CEO Mike Dickey remarked on the innovation represented by the platform for capturing network data by noting:
Our new data capture technology is a culmination of many years of experience building network-based data capture products. It enables customers to gain real time access into the wealth of business and IT information without the need to connect to physical network infrastructure, and without introducing risk to production systems or application performance.
Dickey underscores how Cloudmeter’s technology brings the Big Data revolution to network data and concomitantly empowers customers to access “business and IT information” in ways that have the potential to transform both their marketing platforms as well as their IT infrastructure design. In an interview with Cloud Computing Today, Cloudmeter’s COO Ronit Belson remarked that, rather than falling into the category of DevOps products, the company’s platform more appropriately represents a disruptive innovation in the MarkOps space defined by the integration of marketing-related front-end application design with the Operations-related design of their platform’s IT infrastructure. Cloudmeter Stream integrates with Big Data platforms such as Splunk and GoodData allowing users to integrate petabytes of machine data with data selectively culled from the business rules specific to Cloudmeter’s user interface.
Cloudmeter Stream is complemented by Cloudmeter Insight, a SaaS application that transforms data captured by Cloudmeter Insight into visual representations that allow application owners to comprehensively understand end-user experiences of an application as represented below:
Cloudmeter Stream leverages widgets to allow users to customize reports and dashboards of their choosing. The result is an integrated view of an application’s backend and front-end user experience in ways that allow application owners to obtain a truly holistic picture of user experiences with their platforms. Today’s announcements point toward two exciting new releases into the application performance management space as Big Data begins to own up to its potential of delivering 360 degree views of user experiences with technology platforms. Cloudmeter’s customer base includes Netflix, SAP and Saks Fifth Avenue and 1-800-Flowers.
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