5 Secrets of "Cloud vs. In-house Storage" Trade Study
As IT boss, you lose sleep over data security breach and consequences that your company may face, and your job. Add the burdens of cost, resources, training, speed, backup, accessibility... you wonder to keep your data on a cloud or in-house. This trade study reveals 5 secrets that will keep you sleep like a baby.
Know the short-term vs. long term cost
Whether speed is important or not
Burden on your network bandwith
Human vs. machine cost multiples
"What-If" data breach
Jim Mulholland Vice President, Analytics and Collaboration,
Delivering Actionable Data Supporting Clinical Trial Excellence
In 2015, teams at INC Research started a project whose goal was to identify the key business questions that needed consistent assessment to ensure clinical trial success. In essence, the aim was to codify “how is the study performing?” by identifying data points captured throughout trial conduct that provided the most accurate insight into that question. These structured and semi-structured data points, captured as business events, are prepared in a canonical approach so as to ensure consistent results across different source systems and variation in study design. The events are then processed in near real-time through a big data platform to eventually live within our corporate data lake, and eventually become metrics and KPIs that are rendered within SAS Visual Analytics. This presentation will demonstrate the process INC Research took to go from "barren to bounty" in less than one year.
Big Data analytics for improved business decisions
Making the transition from traditional EDW to the data lake
Lessons learned while moving the organization to the big data paradigm
Jon McKeeby Chief Information Officer,
NIH Clinical Center
We are a federal clinical research organization. Everyone in the organization wants data to measure their departments but have a difficult time providing requirements. The word Data Analytics are pushed them all to ask for dashboards. We are working towards creating a data analytics service center. This presentation will review the initial steps
Importance of Data Analytics
Importance of Data and Information Management Governance
Stakeholders of Data Analytics/Types of Data Analytics Measures/Types of Presentations
Steps in Creating a Data Analytics Service Center
David Nuti Vice President of Business Development,
MPLS is Dying: A Business Case for Pulling the Plug
Legacy networks, such as MPLS, do not work for application delivery in today’s global environment. The biggest challenge facing global enterprises today is the ability to deliver fast and reliable performance of mission-critical applications to worldwide users.
Join Dave Nuti, Vice President of Business Development at Aryaka, for an informative presentation on the best practices for delivering fast and reliable application performance by replacing MPLS.
Pimcore – a Unified digital transformation platform
Pimcore is disrupting how business organizations manage their data and address the multi-channel publishing challenges. The session will focus on unique value proposition of Pimcore and what separates it from the competition. Will also talk about some real world case studies where Pimcore helped organizations address their unique data management challenges.
A consolidated platform for MDM/PIM, CMS, DAM and eCommerce
Only open source PIM/MDM platform recommended by Gartner
How it can help address the multi-source data management, consolidation and distribution challenges