The Jigsaw Story - Data 2.0 2012 Keynote by Jim Fowler
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Founder and CEO of Jigsaw and InfoArmy offers insight into start-ups and lessons learned from founding Jigsaw.
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4) Two examples presented were DellEMC using MemSQL for a real-time customer 360 application and an IoT logistics application called MemEx that processes sensor data from warehouses for predictive analytics.
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This document summarizes a presentation about implementing a data analytics function from scratch. It discusses the growth of data and need for analytics, challenges around data quality and governance, and proposes a hybrid governance model. It also outlines building a scalable data platform in the cloud to enable self-service analytics and consumption. Key steps include defining personas, use cases, data sources, and a governance model to balance business and IT needs for a mature analytics capability.
Data Governance Strategies - With Great Power Comes Great Accountability
Much like project team management and home improvement, data governance sounds a lot simpler than it actually is. In a nutshell, data governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, data governance directs how all other data management functions are performed, meaning that much of your data management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective data management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
-Illustrate what data governance functions are required for effective data management, how they fit with other data management disciplines, and why data governance can be tricky for many organizations
-Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
-Provide direction for selling data governance to organizational management as a specifically motivated initiative
The Rise of People Analytics
“People analytics” is a frequently used buzzword. But questions remain as to why this is becoming such a prominent challenge for HR. What are leading organizations doing to develop their understanding of how data analytics can drive better people decisions? In this session, learn what you can start doing tomorrow to accelerate and mobilize your people analytics efforts.
Learning Objectives
• Learn the research and trends in data & analytics.
• Learn what is driving the people analytics movement.
• Learn the barriers to entry for companies.
• Learn how to mobilize your efforts in building out your people & analytics capabilities.
Speaker: Diego Gomez, Vice President of Human Capital Management Transformation, Oracle
Day 2 aziz apj aziz_big_datakeynote_press
This document summarizes Aziz Safa's presentation on Intel's adoption of big data, cloud, and IoT technologies. It discusses how innovative companies are leveraging big data to create disruptive business models and enhance customer experience. Lower costs of computing and storage as well as the growth of unstructured data are driving big data adoption. However, only a small percentage of available data is currently being analyzed due to legacy techniques being insufficient. Intel proposes a unified big data approach to capture, store, manage, and analyze all data types. Advanced analytics applied to big data can provide a competitive advantage if companies build the right skills and move quickly.
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1) Organizations struggle to provide the right information to the right people at the right time due to data stored in separate silos across different systems and departments.
2) BridgeTheGap offers a solution to untangle these "data hairballs" and provide a clean, scrubbed, universal data warehouse for business intelligence through a three step process that integrates organizations' systems and analyzes their data.
3) By integrating organizations' disparate systems and data sources, BridgeTheGap aims to solve the "missing piece of BI" by providing a single source of integrated data to help organizations achieve valuable insights.
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1) BridgeTheGap is a data integration solution that aims to provide organizations with the "right information to the right person at the right time" by untangling their "data hairballs" through a three step process to establish a clean, universal data warehouse for business intelligence.
2) System integration is a growing industry projected to be worth $331 billion by 2018, yet standard options for organizations to achieve integration are expensive and time-consuming.
3) BridgeTheGap has conducted surveys that indicate organizations are struggling with inconsistent data management and siloed information across departments, and are looking for easier solutions like BridgeTheGap's SaaS platform to bridge these gaps.
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- 1. The Jigsaw Story Jim Fowler Data2.0 – San Francisco April 3, 2012
- 3. Overview • Founded in 2003 • $18M in VC funding (3 rounds) • 145 Employees • Purchased by CRM in 2010 for $175M
- 5. 21M Records • New • Updated • Dead
- 8. Superheros
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- 25. Thank You! www.infoarmy.com @InfoArmy www.jimfowler.com @fowlinator