10 Leadership Practices to Stop Today

http://www.inc.com/paul-spiegelman/leadership-practices-to-stop-today.html

BI Comparison Tool

 Attached is the evaluation matrix in excel spreadsheet that you requested through LinkedIn. Each feature is ranked by importance and availability and you can change the weight for each category. All data is then aggregated into a results sheet, displaying your top options.

 

Would love to hear your feedback!

 

Best,

 

Kseniya Savelyeva

k.savelyeva@gmail.com

Data Science Dictionary

http://www.analyticbridge.com/profiles/blogs/2004291:BlogPost:223153?goback=%2Egde_80552_member_186937434

Posted by Vincent Granville on November 17, 2012 at 10:30pm

 
Top 50 data science / big data techniques, described in less than 40 words, for decision makers. Please help us: any definition that you fill will have your name attached to it: send your definition or new term and definition to vincentg@datashaping.com.

1. Bayesian Networks
2. Boosted Models
3. Cross Validation
4. Decision Trees
5. Design of Experiments
6. EM Algorithm
7. Ensemble Methods
8. Factorial Analysis: used as a variable reduction technique to identify groups of clustered variables. (submitted by Vincent Granville)
9. Feature Selection
10. General Linear Model
11. Goodness of Fit
12. Hidden Decision Trees
13. Hierarchical Bayesian Models
14. K-Means
15. Kernel Density estimator
16. Linear Discrimination
17. Logistic Regression
18. Maximum Likelihood
19. MCMC
20. Mixture Models
21. Model Fitting
22. Monte-Carlo Simulations
23. Multidimensional Scaling: reduce space dimension by projecting a N*N (N = number of observations) similarity matrix into a 2-dimensional visual representation. Classical example is producing a geographic map with cities, when the only data available is travel times between any pair of cities. (submitted by Vincent Granville)
24. Naive Bayes
25. Non-parametric Statistics
26. Principal Component Analysis
27. Sensitivity Analysis
28. Stepwise Regression
29. Supervised Clustering
30. Support Vector Machines
31. Time Series

Reference: Introduction to Machine Learning, Ethem Alpaydin, The MIT Press (2004)

Actionable Analytics for Healthcare Providers

Analytic challenges and opportunities are shaking up the healthcare industry. Policy and regulatory changes that affect reimbursement and patient-care performance are forcing organizations to move quickly to improve data analysis.

Leveraging the new generation of business intelligence (BI), data discovery, dashboards, and analytics can help organizations replace slow, manual, spreadsheet-based processes. Based on real-world experiences at Swedish Medical Group, this Webinar will discuss how BI and analytics can be applied to the challenges faced by today’s healthcare providers and systems.

Join David Stodder, TDWI Research Director for Business Intelligence, for this special webinar produced jointly by TDWI and MedTech Media, publisher of the award-winning Healthcare IT News and Healthcare Finance News, as well as Healthcare Payer News and other brands: Actionable Analytics for Healthcare Providers.

You will learn about:

• BI and data analytics that can be applied to specific challenges faced by healthcare providers’ financial, clinical, and patient-care personnel
• Swedish Medical Group’s successful implementation of leading-edge analytics and BI
• Technologies such as data visualization, dashboards, data discovery, and analytics that can positively impact financial, clinical, and patient-care decisions

Register Now: Actionable Analytics for Healthcare Providers
When: December 10, 2012, 9:00 a.m. PT 
Speaker: David Stodder

Guest Speakers:
David Delafield, Chief Financial Officer, Swedish Medical Group
Ted Corbett, Founder, Vizual Outcomes, LLC

Stay Current and Connected: Register for multiple upcoming Webinars

NuoDB Expands Market Presence With NuoConnect

 

Company Announces First Round of Members Enrolled in NuoConnect

Cambridge, MA  — November 14, 2012 — NuoDB, Inc., a startup offering the industry’s onlypatented, elastically-scalable Emergent Database for the cloud, today announced NuoConnect, a developer partner program for technology partners, IT service and consulting firms, Independent Software Vendors (ISVs), and cloud providers.

The NuoConnect program offers the following benefits for participants:

• Free NuoDB Pro Edition software for development, testing, training and demo purposes
• Early access to NuoDB pre-release software
• Inclusion in NuoDB product roadmap consultation process
• Joint go-to-market programs
• Access to NuoDB technical documentation
• Access to NuoDB marketing materials
• NuoDB technical training
• NuoDB sales training
• Increased market presence and revenue potential
• Listing on the NuoDB website
• Certification, validation, and/or joint solution development. 

Simultaneously, the company announced their Release Candidate 1 (RC1), which is now available for immediate download by the general public. With RC1, NuoDB also released information on the pricing and licensing model for their commercial software that will be made generally available in the next 30-60 days. That release is entitled: NuoDB Gathers Momentum with Release Candidate of Industry’s Only Emergent Database

NuoConnect Launches With Cutting Edge Partners

The NuoConnect program launches with cutting edge application development partners on board. These include:

Technology partner:

• Awesome API, USA

IT Service and consulting firms:

• H2 Consulting, USA
• Barula Systems, Argentina
• Firebase, Columbia

Supporting Quotes

“We are excited to be partnering with NuoDB and fully expect that the combination of their technology being accessed with ours will create a compelling offering for enterprise developers and software architects,” stated Scott Ling,  CEO at Awesome API 

“Firebase.co is delighted to join NuoConnect. We have been testing NuoDB with exciting results and are looking forward to putting it into production with a new web-scale application we are currently developing,” stated Johan Hernandez, CEO, Firebase.co.

“We decided to launch NuoConnect prior to general availability due to partner demand. Response to the program has been overwhelmingly positive and we especially appreciate this group of early partners who have already chosen to start providing a true 21^st century database to their customers,” stated Barry Morris, Co-Founder and CEO of NuoDB. “We will ramp NuoConnect rapidly over the coming months. These early partners are joining us in changing the rules for relational databases to address a whole new set of applications.”

About NuoDB

NuoDB, Inc., is a Cambridge, MA-based startup that provides the industry’s first and onlypatented elastically scalable, emergent database. Unlike every other database, NuoDB is architected to scale effortlessly on the cloud without compromising any of the features or guarantees of relational databases.

NuoDB is the brainchild of industry-renowned database architect and innovator Jim Starkey. NuoDB was launched in 2010 by Starkey and software CEO Barry Morris.

Top 20 data visualisation tools

By Brian Suda on September 17, 2012 |  

From simple charts to complex maps and infographics, Brian Suda’s round-up of the best – and mostly free – tools has everything you need to bring your data to life

One of the most common questions I get asked is how to get started with data visualisations. Beyond following blogs, you need to practise – and to practise, you need to understand the tools available. In this article, I want to introduce you to 20 different tools for creating visualisations: from simple charts to complex graphs, maps and infographics. Almost everything here is available for free, and some you have probably installed already.  READ MORE

Best Practices for a BI and Analytics Strategy

http://docs.media.bitpipe.com/io_10x/io_107194/item_599894/Best_Practices_for_a_BI_and_Analytics_Strategy_%5B1%5D.pdf

What are the factors to consider when creating a BI and analytics strategy?

A. IDC encourages organizations to develop an organizationwide BI and analytics strategy that  articulates responses to the following questions:

 What are our organization’s business objectives, challenges, and goals, and how do we measure progress toward these goals?
 Are our BI objectives aligned with our business objectives? What metrics or key performance indicators (KPIs) exist to ensure that measurement of progress toward organizational goals is made possible?
 What are the types of strategic, operational, and tactical decisions being made at different levels in our organization?
 Who are the different user groups and user types making these decisions?
 What data sources are required to support the decisions being made at our organization?
 What BI and analytics technology functionality is required to support the types of decisions and decision-making processes of various end-user groups, including executives, managers, business analysts, quantitative analysts, operational staff, customer-facing staff, and external stakeholders?
 What staffing needs and organizational structure are required to ensure that individuals or teams exist to address tasks such as data integration, data quality, data management, master data management, report or dashboard development, data analysis, and
information access?
 What technology components exist or are needed to ensure that the decision support or automation needs of all decision makers are addressed?

Responses to these questions will assist you in defining a long-term BI and analytics  strategy. However, it’s also important to conduct a periodic assessment of responses to these questions and a review of the level of BI and analytics competency and pervasiveness in
your organization

Best_Practices_for_a_BI_and_Analytics_Strategy

An explosion in new analytical tools gives companies new ways to tap expertise.

An explosion in new analytical tools gives companies new ways to tap expertise.

Social Media Changing traditional Intelligence cycle

Social Media Changing traditional Intelligence cycle

WEBINAR: Role dashboards play in BI success and key features to consider

Confused on how to evaluate dashboards? Unsure what the differences are with scorecards and dashboards? TDWI is hosting a webcast with BI Scorecard analyst Cindi Howson and Actuate on building dashboards for real business results. 

Since dashboards have rapidly moved to become the face of business intelligence, BI teams are charged with evaluating new solutions, sometimes integrating with existing BI platforms or replacing previously custom-developed solutions. Yet not all dashboard products are the same, and adding to the confusion is the role of scorecards. 

In this webinar, learn the role dashboards play in BI success and key features to consider. You will learn:

• The role of dashboards in BI success and business alignment
• Key features to look for when evaluating dashboards
• The differences with scorecards

It is a day of education you will not want to miss December 11th at 9 AM PT. Register today:http://bit.ly/RN0GE0