Welcome!

Recurring Revenue Authors: Elizabeth White, Yeshim Deniz, Xenia von Wedel, Liz McMillan, Carmen Gonzalez

News Feed Item

ClearStory Data Names Stephanie McReynolds Vice President of Marketing and Product Management

McReynolds Brings More Than a Decade of Marketing and Product Experience From Teradata, Oracle, PeopleSoft, Business Objects and Epiphany

PALO ALTO, CA -- (Marketwire) -- 02/05/13 -- ClearStory Data, a company delivering a new big data solution that makes it easy for business users to find, combine and interactively analyze disparate data from both corporate and third-party sources, today announced that Stephanie McReynolds has joined the company as vice president of marketing and product management. McReynolds leads product management, product marketing and corporate marketing functions, reporting directly to CEO Sharmila Mulligan.

"ClearStory Data is pioneering a new way for business users to gain immediate and interactive data insights on a scale necessary for today's diverse data landscape," said Mulligan. "Stephanie brings proven big data experience and a solid track record of successfully productizing innovations in data infrastructure and analytic application categories."

McReynolds has more than a decade of experience in marketing and product management for the analytics and data management markets, including experience in real-time data processing, data warehousing infrastructure, business intelligence and advanced analytic applications. Previously, McReynolds was senior director of product and technical marketing at Teradata. In April 2011, Teradata acquired Aster Data, where McReynolds drove product marketing for Aster Data's big data analytics platform. Prior to Aster Data, she was director of product management at Oracle, where she brought to market Oracle's first complex event processing platform and was part of the core team that grew Oracle's Fusion Middleware business from $150M to over $2B in less than 5 years. At PeopleSoft, she led the product management team responsible for all reporting and analytic features in the PeopleSoft CRM Suite of products. She also held key marketing roles at Business Objects and Epiphany.

"The ClearStory Data team is leveraging several years of innovation in big data technology and building a new solution that fundamentally transforms the way that business users interact with data," said McReynolds. "I am excited to join ClearStory Data as the company goes to market with a solution enabling widespread adoption of big data analytics."

McReynolds earned both bachelor's and master's degrees from Stanford University.

About ClearStory Data
ClearStory Data (www.clearstorydata.com) is making it easy for business users to find, combine and interactively explore big, diverse data across first-party and third-party sources for immediate insights. The ClearStory Data team has decades of combined experience at Aster Data, BusinessObjects, Google, Netscape, Opsware, Oracle and Teradata. The company is backed by investments from Kleiner Perkins Caufield & Byers, Andreessen Horowitz, Google Ventures, Khosla Ventures and Silicon Valley industry leaders.

Media Contact
Clinton Karr
LEWIS Pulse
(415) 321-2349
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...