Loan

Credit News

Switch – World-Renowned Data Centers and Technology Solution Ecosystems #hp #data #center #locations


#

Multi-System Exterior Wall Penetrating HVAC Units, Switch LAS VEGAS 9 — The Core Campus, Las Vegas, Nevada

Atrium, Switch Pyramid — The Pyramid Campus, Grand Rapids, Michigan

Switch CLOUD, Multi-Cabinet Heat Containment Rows

Switch LAS VEGAS 8 — The Core Campus, Las Vegas, Nevada

Data Center Cage, Switch

Red Power Room, Switch

Data Center Sector, Switch

The Citadel, Switch TAHOE RENO 1 — The Citadel Campus, Reno, Nevada

Data Center Cage, Switch

Grey Power Room, Switch

POWERING THE FUTURE OF THE CONNECTED WORLD

The World s Best Priced Colocation

How can Switch build the highest rated data centers in the world and still beat our competitors pricing 100% of the time? It s simple Rob Roy designed, patented and manufactures 80% of his data center modules completely eliminating 60% of the mark up inherent with building a data center!

Switch is a global technology solutions corporation whose core business is the design, construction and operation of ultra-advanced data centers, enabling the most powerful technology ecosystems on the planet. We believe that the future progress of humanity depends on the sustainable growth of the Internet. As more people, businesses, governments and devices come online, the need for advanced data centers increases, as does the growing need to power those data centers. At Switch, every team member is driven to produce real results for our clients technologically and financially. Our technology collaboration ecosystem gives our clients access to virtually unlimited options for innovation, economies of scale, risk mitigation, sustainability and investment protection.

Switch NEWS

Switch Announces Massive PRIME Data Center Campus in Atlanta

At more than 1 million square feet the multibillion-dollar campus will be one of four Switch PRIMES in North America ATLANTA — Switch, the global technology solutions corporation that is POWERING THE FUTURE OF THE CONNECTED WORLD™, today announced its plan to develop a more than 1 million square foot PRIME Data Center campus in Atlanta to meet client demand in…

Michigan Governor Declares Switch PYRAMID Data Center “Awesome” at Official Grand Opening

Michigan Governor Rick Snyder joined Rob and Stella Roy, and a host of the state’s political, economic development and local leadership to “cut the ribbon” marking the official grand opening of the iconic Switch PYRAMID data center in Grand Rapids, Michigan. “This was an iconic building in Michigan. To see it transformed by Switch into the most advanced, largest data…

Switch GRAND RAPIDS Now Open: The Largest, Most Advanced Data Center Campus in the Eastern U.S.

First Phase of the 1.8 Million-Square-Foot Data Center Campus Completed and Now Open WATCH PYRAMID CAMPUS VIDEO GRAND RAPIDS, Mich. — Switch, a globally recognized leader in future-proof data center design, superscale cloud, unparalleled telecom gateways and energy sustainability, today announced the opening of the largest, most advanced data center campus in the Eastern U.S. –– Switch GRAND RAPIDS,…

Switch TAHOE RENO Now Open: Largest, Most Advanced Data Center Campus in the World

Switch, a globally recognized leader in future-proof datacenter design, superscale cloud, unparalleled telecom gateways and energy sustainability, opens – The Citadel Campus. Designed for up to 7.2 million square feet of data center space and up to 650 megawatts (MW) of power…

Greenpeace: Switch scores highest among any class of company

Greenpeace Clicking Clean Report recognizes Switch as the definitive leader among colocation operators, making Switch the first multi-tenant data center provider in the world to receive all A grades in the six-year history of Greenpeace’s Clicking Clean report. The grades published in the 2017 report reflect Switch’s use of 100 percent renewable energy…

Switch Announces Its New Tier 5 Data Center Standard

Recognizing shortcomings in the way data centers are evaluated, Switch is introducing a new proprietary Tier 5 Data Center Standard that it expects will be the most comprehensive standard in the industry…

Looking for a sales contact? Visit the sales center. SALES CENTER

The recognized world leader in colocation design, development and mission critical operations.

Copyright 2017 Switch. All Rights Reserved.

Switch


The 3Vs that define Big Data – Data Science Central, visualize data online.#Visualize #data #online


#

Visualize data online

Visualize data online

The 3Vs that define Big Data

As I studied the subject, the following three terms stood out in relation to Big Data.

In marketing, the 4Ps define all of marketing using only four terms.

I claim that the 3Vs above totally define big data in a similar fashion.

These three properties define the expansion of a data set along various fronts to where it merits to be called big data. An expansion that is accelerating to generate yet more data of various types.

Visualize data online

The plot above, using three axes helps to visualize the concept.

The size of available data has been growing at an increasing rate. This applies to companies and to individuals. A text file is a few kilo bytes, a sound file is a few mega bytes while a full length movie is a few giga bytes.

More sources of data are added on continuous basis. For companies, in the old days, all data was generated internally by employees. Currently, the data is generated by employees, partners and customers. For a group of companies, the data is also generated by machines. For example, Hundreds of millions of smart phones send a variety of information to the network infrastructure. This data did not exist five years ago.

More sources of data with a larger size of data combine to increase the volume of data that has to be analyzed. This is a major issue for those looking to put that data to use instead of letting it just disappear.

Peta byte data sets are common these days and Exa byte is not far away.

Large Synoptic Survey Telescope (LSST).

“Over 30 thousand gigabytes (30TB) of images will be generated every night during the decade -long LSST sky survey. ”

72 hours of video are uploaded to YouTube every minute

There is a corollary to Parkinson’s law that states: “Data expands to fill the space available for storage.”

This is no longer true since the data being generated will soon exceed all available storage space.

Initially, companies analyzed data using a batch process. One takes a chunk of data, submits a job to the server and waits for delivery of the result. That scheme works when the incoming data rate is slower than the batch processing rate and when the result is useful despite the delay. With the new sources of data such as social and mobile applications, the batch process breaks down. The data is now streaming into the server in real time, in a continuous fashion and the result is only useful if the delay is very short.

140 million tweets per day on average.( more in 2012)

I have not yet determined how data velocity may continue to increase since real time is as fast as it gets. The delay for the results and analysis will continue to shrink to also reach real time.

From excel tables and databases, data structure has changed to loose its structure and to add hundreds of formats. Pure text, photo, audio, video, web, GPS data, sensor data, relational data bases, documents, SMS, pdf, flash, etc etc etc. One no longer has control over the input data format. Structure can no longer be imposed like in the past in order to keep control over the analysis. As new applications are introduced new data formats come to life.

Google uses smart phones as sensors to determine traffic conditions.

In this application they are most likely reading the speed and position of millions of cars to construct the traffic pattern in order to select the best routes for those asking for driving directions. This sort of data did not exist on a collective scale a few years ago.

The 3Vs together describe a set of data and a set of analysis conditions that clearly define the concept of big data.

So what is one to do about this?

So far, I have seen two approaches.

1-divide and concur using Hadoop

2-brute force using an “appliance” such as the SAP HANA

(High- Performance Analytic Appliance)

In the divide and concur approach, the huge data set is broken down into smaller parts (HDFS) and processed (Mapreduce) in a parallel fashion using thousands of servers.

As the volume of the data increases, more servers are added and the process runs in the same manner. Need a shorter delay for the result, add more servers again. Given that with the cloud, server power is infinite, it is really just a matter of cost. How much is it worth to get the result in a shorter time.

One has to accept that not ALL data analysis can be done with Hadoop. Other tools are always required.

For the brute force approach, a very powerful server with terabytes of memory is used to crunch the data as one unit. The data set is compressed in memory. For example, for a Twitter data flow that is pure text, the compression ratio may reach 100:1. A 1TB IBM SAP HANA can then load a data set of 100TB in memory and do analytics on it.

IBM has a 100TB unit for demonstration purposes.

Many other companies are filling in the gap between these two approaches by releasing all sorts of applications that address different steps of the data processing sequence plus the management and the system configuration.


Digital Maturity Model – TM Forum, data governance maturity model.#Data #governance #maturity #model


#

DIGITAL MATURITY MODEL

The digital revolution – described by many as ‘the fourth industrial revolution’ – creates significant opportunities and threats for communications service providers. Impacting every industry, service providers can embrace significant growth opportunities by looking beyond connectivity. At the same time, commoditization and digitalization of connectivity services has created an urgency to dramatically simplify and transform the efficiency of existing business.

REGISTER

To get started on your digital transformation journey, complete this short form and we will contact you

DOWNLOAD

TM Forum members can download and use the spreadsheet version of the Digital Maturity Model.

A detailed brochure of the model, including endorsements and how to get started

DOWNLOAD

Download the demo version, review the model and start your digital transformation journey

The Digital Transformation Imperative

In order to survive and thrive in the digital market, service providers are embarking on complex and demanding digital transformation journeys. To be successful, these transformation programs require much more than embracing new technologies and ways to interact with our customers – they demand holistic transformation of the entire business, fundamentally redefining how the business operates.

Some of the market forces requiring Service Providers to adapt are:

  • Margin pressure: Maintaining profitability is challenging as the demand for data continues to rise
  • Decoupled Value Chains: Increased speed, velocity, transparency and access disaggregate value chains
  • Emergence of Ecosystems: New platform-based business models change the rules of the game for high-growth businesses
  • New Entrants: Innovators can reach global-scale with amazing speed, at dramatically lower cost than ever before Reduced Barriers to Digital Entry: Low barriers to entry drive innovation and new entrants

Why a Digital Maturity Model is needed

Recent TM Forum research reveals less than 50% of Communication Service Providers (CSPs) have been successful in their transformation efforts so far. The leading causes identified include siloed transformation without sufficient buy-in , highlighting the urgent need for a robust tool to help leaders guide and manage the change on an enterprise-wide basis.

Following extensive consultation with the world’s leading service providers, we identified the need for an industry-agreed Digital Maturity Model , metrics and methodology. To create that model, we’ve brought together expertise and models from leading service providers, consulting firms and solution providers in order to create a ‘living’ maturity model and set of metrics that help companies measure their true digital maturity. Watch Nik Willetts, CEO, TM Forum keynote speech on digital transformation.

Endorsed by industry leaders

The TM Forum Digital Maturity Model has already been endorsed by over 10 industry leading CSPs, management consultancies and suppliers including:

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

Data governance maturity model

TM Forum Digital Maturity Model

A maturity model is a business tool used to assess the current status of certain capabilities that exist within an organization and help them to be clear where these need to transform or improve. As a TM Forum member you can download the spreadsheet version of the model here.

The Dimensions and definitions for the TM Forum Digital Maturity Model are:

  • Customer – Providing an experience where customers view the organization as their digital partner using their preferred channels of interaction to control their connected future on and offline.
  • Strategy – Focuses on how the business transforms or operates to increase its competitive advantage through digital initiatives; it is embedded within the overall business strategy.
  • Technology Underpins the success of digital strategy by helping to create, process, store, secure and exchange data to meet the needs of customers at low cost and low overheads.
  • Operations Executing and evolving processes and tasks by utilizing digital technologies to drive strategic management and enhance business efficiency and effectiveness.
  • Culture, People and Organization Defining and developing an organizational culture with governance and talent processes to support progress along the digital maturity curve and the flexibility to achieve its growth and innovation objectives.

Maturity models underpin success in transformation projects by:

  • forcing organizations to analyze and properly structure the problem to be addressed
  • establishing clear, universally understood goals and plans for the short and longer term
  • helping organizations assess where they are in their transformation journey
  • allowing businesses to objectively measure their progress during the journey

Next Steps: Using the Model

SELF-SERVICE

Download the model and/or app to start your digital transformation journey

GUIDED

Let TM Forum help guide you on your digital transformation journey


Brian Center Health And Rehab Federal No: 345332 near 2501 Downing Street Sw, Wilson NC #brian #center #health #and #rehab,nursing #home #provider,medicare #nursing #home #provider,medicaid #nursing #home #provider,2501 #downing #street #sw,wilson,nc,locations,address,phone #number, #medicare #nursing #home #compare #data, #medicaid #nursing #home #compare #data


#

Brian Center Health And Rehab

Brian Center Health And Rehab was recognized and ceritified in 1990 by Centers for Medicare & Medicaid Services as one of model nursing home providers promoting health and improving quality of life. Brian Center Health And Rehab which is located in 2501 Downing Street Sw Wilson, is scientifically measured and assessed by Centers for Medicare & Medicaid Services and is shown to provide good nursing home services or products under the Medicare program. Brian Center Health And Rehab is being offered ceritified services and products in North Carolina.

Address: 2501 Downing Street Sw
Wilson, NC 27895

County: Wilson
Federal Provider Number: 345332

Provider Resides in Hospital: No
Number of Federally Certified Beds: 99
Number of Residents in Federally Certified Beds: 95 (96% occupied)
Continuing Care Retirement Community: No
Special Focus Facility: No
With a Resident and Family Council: Resident
Automatic Sprinkler Systems in All Required Areas: Yes

View recent deficiency information

Survey Date: Thursday, November 14, 2013
Survey Type: Fire Safety
Deficiency: K0011 (A two-hour-resistant firewall separation.)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Monday, November 25, 2013
The inspection cycle of deficiency: 1 (the deficiency was found on a standard inspection)

Survey Date: Thursday, November 14, 2013
Survey Type: Fire Safety
Deficiency: K0144 (Weekly inspections and monthly testing of generators.)
Scope Severity Code: F
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Monday, November 25, 2013
The inspection cycle of deficiency: 1 (the deficiency was found on a standard inspection)

Survey Date: Thursday, November 14, 2013
Survey Type: Fire Safety
Deficiency: K0029 (Special areas constructed so that walls can resist fire for one hour or an approved fire extinguishi)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Monday, November 25, 2013
The inspection cycle of deficiency: 1 (the deficiency was found on a standard inspection)

Survey Date: Wednesday, November 14, 2012
Survey Type: Fire Safety
Deficiency: K0027 (Smoke barrier doors that can resist smoke for at least 20 minutes.)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Wednesday, December 5, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Wednesday, November 14, 2012
Survey Type: Fire Safety
Deficiency: K0029 (Special areas constructed so that walls can resist fire for one hour or an approved fire extinguishi)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Wednesday, December 5, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Wednesday, November 14, 2012
Survey Type: Health
Deficiency: F0309 (Provide necessary care and services to maintain or improve the highest well being of each resident .)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Friday, December 7, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a complaint inspection)

Survey Date: Thursday, August 23, 2012
Survey Type: Health
Deficiency: F0315 (Ensure that each resident who enters the nursing home without a catheter is not given a catheter, un)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Thursday, September 20, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Thursday, August 23, 2012
Survey Type: Health
Deficiency: F0254 (Provide clean bed and bath linens that are in good condition.)
Scope Severity Code: E
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Thursday, September 20, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Thursday, August 23, 2012
Survey Type: Health
Deficiency: F0456 (Keep all essential equipment working safely.)
Scope Severity Code: E
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Thursday, September 20, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Thursday, August 23, 2012
Survey Type: Health
Deficiency: F0441 (Have a program that investigates, controls and keeps infection from spreading.)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Thursday, September 20, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Thursday, August 23, 2012
Survey Type: Health
Deficiency: F0371 (Store, cook, and serve food in a safe and clean way.)
Scope Severity Code: E
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Thursday, September 20, 2012
The inspection cycle of deficiency: 2 (the deficiency was found on a standard inspection)

Survey Date: Wednesday, August 10, 2011
Survey Type: Fire Safety
Deficiency: K0061 (Properly working alarms on sprinkler valves.)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Saturday, September 24, 2011
The inspection cycle of deficiency: 3 (the deficiency was found on a standard inspection)

Survey Date: Wednesday, August 10, 2011
Survey Type: Fire Safety
Deficiency: K0029 (Special areas constructed so that walls can resist fire for one hour or an approved fire extinguishi)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Saturday, September 24, 2011
The inspection cycle of deficiency: 3 (the deficiency was found on a standard inspection)

Survey Date: Thursday, July 14, 2011
Survey Type: Health
Deficiency: F0428 (At least once a month, have a licensed pharmacist review each resident’s medication (s) and report a)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Tuesday, August 16, 2011
The inspection cycle of deficiency: 3 (the deficiency was found on a standard inspection)

Survey Date: Thursday, July 14, 2011
Survey Type: Health
Deficiency: F0281 (Ensure services provided by the nursing facility meet professional standards of quality.)
Scope Severity Code: D
Deficiency Corrected: Deficient, Provider Has Date Of Correction
Date the deficiency was corrected: Tuesday, August 16, 2011
The inspection cycle of deficiency: 3 (the deficiency was found on a standard inspection)

Number of Facility Reported Incidents: 0
Number of Substantiated Complaints: 5
Number of Fines: 0
Number of Payment Denials: 0
Total Number of Penalties: 0
Total Amount of Fines in Dollars: USD 0

This data allows consumers to compare information about nursing homes. Information here is not an endorsement or advertisement for any nursing home and should be considered carefully. Use it with other information you gather about nursing homes facilities. Talk to your doctor or other health care provider about this.

This data was updated by using data source from Centers for Medicare and Medicaid Services (CMS) which is publicized on Wednesday, October 1, 2014. If you found out that something incorrect and want to change it, please follow this Update Data guide.

The Five Star Quality Rating System is not a substitute for visiting the nursing home. This system can give you important information, help you compare nursing homes by topics you consider most important, and help you think of questions to ask when you visit the nursing home. Use the Five-Star ratings together with other sources of information.


Web Data Management – Web Data, Content Application and Search Engine Optimisation Management System #webtop, #web #data, #data #management, #cloud #computing, #cloud #data, #cms, #content #management #system, #website #design, #web #programming, #programmer, #database #management, #web #database


#

Data management. Made Easy.

Managing your data has never been easier. With our CASE management system, you can now access your business critical data from anywhere in the world, using any internet-enabled device such as your laptop or your mobile phone. And because we use standard browser technology, it doesn’t matter if you are a Windows, Macintosh or Linux user; everyone accesses the same database at any time. Here are just some of the reasons why CASE is the best solution for your business:

Flexible web database customised specifically for your business requirements. Let our expert analysts liaise with your staff to determine how best to structure your data. Our development team will build the database for you and plug our CASE management system.

Real data, real time, 24 hours a day, 7 days a week! Because all our applications are built and optimised for cloud computing , you can access your data using any standard web browser. You will have full power to access all your data online through any internet enabled device!

Streamline business processes. With simplified data models, your business can now focus on simplifying internal workflow processes. Leverage the power of simple data management, and improve staff productivity and efficiency overnight!

Can handle complex n-tier data levels. Our database is so flexible, we guarantee that it can handle even the most complex information you have. Our development team have designed databases of over 250+ tables, millions of records and are experts in their field. Let us take the complexity out of your data.

And more! We could be here all day, but we better let you get back to work. But do give us call to speak to one of our friendly business analysts who will give you a free analysis of your business data.

New to Databases?

Company Blog

As an SEO provider, you have one main goal. Get your clients website to show up in search results fo.

Posted Sunday, 18 April 2010
Updated Sunday, 24 February 2013 at 06:39 by Andrew Liu

When installing a new Windows XPinstallation, I seemingly always miss some drivers. One that trouble.

Posted Friday, 05 March 2010 at 23:13 by Andrew Liu

Online businesses and websites that cover a broad range of topics or one large topic are sometimes b.

Posted Thursday, 04 March 2010 at 04:34 by Andrew Liu

A tag cloud or word cloud is a visual depiction of tags or words related to a site, typically used t.

Posted Wednesday, 03 March 2010 at 20:15 by Andrew Liu

I’ve been using Gmail since its early inception, and Iwas one of the first to utilise Gmail’s IMAPfe.

Web Articles


Spikes Cavell – Data Analysts #analytics, #data, #big #data, #spend #analysis, #procurement, #spend, #dashboards


#

We harness data and analytics to build smart, data-driven applications that solve real business problems.

Our solutions help: drive revenue growth, reduce costs, improve efficiency, monitor and measure performance or manage risk.

Our solutions help: drive local job creation, deliver more with smaller budgets, measure policy impact or manage risk.

It s all about the data

WHAT WE DO

Examples of our work

Improving visibility to save a nation $1.8bn

Problem: Poor visibility over a European country’s £10bn + annual spend on goods services leading to higher costs and inefficiency in procurement.
Solution: Capture, aggregation, cleansing, classification and enrichment of spend data for over 100 separate entities. Development of an analytics platform deployed to more than 750 users and used to reduce the costs of purchased goods services at national, regional and local levels.

Predicting contract cancellation to reduce ‘churn’

Problem: 4G mobile internet provider in South East Asia suffering revenue loss due to inability to anticipate cancellation.
Solution: Analysis of subscriber records to identify patterns in advance of contract cancellation. Predictive model developed that provides marketing and customer teams with accurate indication of likelihood of cancellation to facilitate retention.

Leveraging data to indicate fraud and abuse

Problem: More effective use of data to reduce losses to fraud and financial abuse by UK Government in the giving of grants.
Solution: Review and analysis of Government data sources and development of 124 potential fraud and abuse indicators and a scoring system design to generate ranked and prioritised ‘watch lists’ to support prioritisation of investigative effort.

Standardizing across borders to drive out cost

Problem: Failure of incumbent to accurately classify a global media company’s $14bn of annual direct and indirect spend.
Solution: Capture, cleansing, classification and enrichment of spend data for 11 business units across multiple geographies. Deployment of an analytics platform to group sourcing used to reduce the costs of commonly purchased goods services.

Location: North America

Monitoring spend with minority owned businesses

Problem: Lack of metrics to monitor spend with minority owned business and track delivery of policy at a large US school district.
Solution: Transformation of spend data combined with aggregation of external minority business data to enable calculation of spend with minorities delivered as a report and updated quarterly to enable tracking of ‘direction of travel’.

Location: North America

Directing spending to create jobs and opportunity

Problem: Leverage a European country’s public spending on goods services to support the growth of the local economy.
Solution: Transformation of spend and aggregation of multiple data sources to facilitate identification and ranking of high potential categories. Delivered as an analytical application with tools to conduct outreach to encourage bid participation.

Benchmarking property assets to manage outliers

Problem: Comparative metrics to manage property costs by global property management company too time consuming to compile.
Solution: Aggregation of spend and property data to create benchmarks against which outlying properties and suppliers could be identified to target cost reduction efforts. Delivered as a dashboard that included metrics to support the sales effort.

Empowering a nation’s ‘armchair auditors’

Problem: Re-engage electorate and rebuild trust and confidence in politicians and the political system at a major US city.
Solution: Repurposing of transformed spend to render it ‘citizen friendly’. Delivered as and easy-to-use web application accessible directly from the City’s own website to allow citizens, journalists and arm-chair analysts direct access to the City’s spend data.

Location: North America

Benchmarking peers to identify better performance

Problem: Absence of comparative metrics for a group of US universities to support identification and prioritisation of opportunities to better manage spend.
Solution: Transformation and standardization of spend by category combined with student and faculty data to generate meaningful category specific benchmarks. Delivered as an intelligent dashboard to enable comparison with peer institutions.

Location: North America

Latest Articles

PARTNERS

CONTACT US


BI Software, Dundas BI – Dundas Data Visualization, web data visualization.#Web #data #visualization


#

Business Intelligence Without Boundaries TM

Compare Dundas BI with other top BI vendors

View the G2Crowd Compare Reports

Web data visualization

Dundas BI TM gives you full control over your data so you can create stunning dashboards, embedded analytics and a personal user experience.

Your business gets more than just data exploration, it gets the perfect delivery needed to act on it.

Web data visualization

Dashboards and Reporting

Move from raw data to beautiful dashboards reports and scorecards in minutes. Drag, drop and customize for the ultimate user experience.

Web data visualization

& Visual Data Discovery

Get Insights Faster™ with built-in visual data preparation, smart visuals and advanced data tools. Eliminate the back and forth between different tools to get your insights.

Web data visualization

Differentiate your applications with integrated BI your customers will love. Do it in style using the #1 flexible software which gives you 100% control for complete customization.

WHAT’S NEW

Cool & Valuable BI Things You Can Do in Dundas BI – PART 2

We’ll show you even more ways that Dundas BI can analyze and present your data, and explain how this can help your business.

Web data visualization

Center6 empowers their Customers with White Labeled Analytics

Published July 18, 2017

Web data visualization

2017 Benchmark Report on Self-Service Business Intelligence

Free 29 page report from Starfleet Research on Self-Service BI

Web data visualization

Great software and a personal experience.

Our users love both.

At Dundas Data Visualization, everything we do is driven by our passion for creating innovative business intelligence software to help solve real business problems. We’re focused on perfecting how our customers interact with and visualize their data – the way they want to.

At Dundas, we provide a personal experience – from our product right through to how we support it. Our customers get a team supporting them every step of the way, ensuring their success.

Web data visualization

Web data visualization

Web data visualization

But don’t just take our word for it.

Web data visualization

“Dundas BI helps the organization quickly gather actionable insight while empowering the admin users to tightly integrate it into the existing infrastructure – both visually and through data connectors.”

CHRISTOPH MALASSA, VISUAL ANALYTICS GROUP TEAM LEAD

Web data visualization

“This product is extremely flexible and very robust. From a BI and visualization standpoint, what you can do with it is limitless”

BLAYNE PARRISH, FOUNDER

Web data visualization

“With Dundas BI, it’s not about taking a quantum leap. It is about creating a culture of continual improvements in business

MOHAMMAD AL KHALILI, PROFESSIONAL SERVICES MANAGER

Web data visualization

“Dundas BI is an all-in-one BI toolkit that is fully customizable, and makes developing BI solutions easy, swift and enjoyable!”

LUIS SILVA, SENIOR BI CONSULTANT

Web data visualization

“The adoption of Dundas BI has amplified Boeing’s ability to further drill-down into and filter their data, making it more organized and visible.”

Web data visualization

“Dundas BI completes our client’s experience. We’ve been able to maximize our reporting capabilities to deliver pertinent information and insights, allowing our clients to better draw their own conclusions.”

Web data visualization

“It’s a really nice out-of-the-box design that is created for users with a range of design capabilities, allowing them to present data in a beautiful manner with minimal effort.”

TOM LEBLANC, SENIOR PROGRAMMER ANALYST

Web data visualization

Web data visualization

Web data visualization

Web data visualization

Web data visualization

Web data visualization

Web data visualization


Francis Crick #cambridge #crystallographic #data #center


#

Concept 19 The DNA molecule is shaped like a twisted ladder.

Francis Crick (1916-2004)

Francis Harry Compton Crick was born in a small town near Northampton, England. As a child, Crick was very inquisitive and he read all of the books of Children’s Encyclopedia that his parents bought him. He found the sections that dealt with science most interesting. This interest led to “kitchen” experiments and eventually serious study and a second-class Honours degree in physics at University College. London.

The physics Crick learned in class was already out of date, so he taught himself the rudiments of quantum mechanics while doing graduate research on the viscosity of water. World War II interrupted his graduate studies. During the war, Crick worked for the Admiralty doing mostly research and design on magnetic and acoustic mines.

When the war ended, Crick continued to work at the Admiralty but he knew he did not want to design weapons for the rest of his life. The problem was that he was unsure what he did want to do. In the end, he decided to enter the life sciences. He liked reading, thinking, and talking about the new discoveries being made in the life sciences. Crick found that “what you are really interested in is what you gossip about.” To pursue his interests, Crick visited several labs and scientists. He finally settled in for a two year stint at Strangeways Laboratory where he did work on the effects of magnetism on chick fibroblast cells.

In 1947, armed with this biology experience, Crick joined Max Perutz at the Cavendish Laboratory in Cambridge. Sir Lawrence Bragg was directing a new unit of the Laboratory where they were using X-ray crystallography to study protein structure. Max Perutz was working on the structure of hemoglobin and Crick’s thesis project was on X-ray diffraction of proteins.

In 1951, Francis Crick met James Watson who was visiting Cambridge. Although Crick was twelve years older, he and Watson “hit it off immediately.” Watson ended up staying at Cavendish, and using available X-ray data and model building, the two solved the structure of DNA. The classic paper was published in Nature in April 1953. A flip of the coin decided the order of the names on the paper. Francis Crick, James Watson and Maurice Wilkins shared the 1962 Nobel Prize for Physiology or Medicine for solving the structure of DNA. Maurice Wilkins and Rosalind Franklin provided some of the X-ray crystallographic data.

After the “double helix” model, there were still questions about how DNA directed the synthesis of proteins. Crick and some of his fellow scientists, including James Watson, were members of the informal “RNA tie club,” whose purpose was “to solve the riddle of RNA structure, and to understand the way it builds proteins.” The club focused on the “Central Dogma” where DNA was the storehouse of genetic information and RNA was the bridge that transferred this information from the nucleus to the cytoplasm where proteins were made. The theory of RNA coding was debated and discussed, and in 1961, Francis Crick and Sydney Brenner provided genetic proof that a triplet code was used in reading genetic material.

For most of his career, Crick was at Cambridge working for the Medical Research Council. In 1976, Crick moved to the Salk Institute in La Jolla where he focused his research on developmental neurobiology. In 1988, he wrote about his experiences in What Mad Pursuit: A Personal View of Scientific Discovery. Crick has been described as having a keen intellect and a dry, British sense of humor.

DNA was first crystallized in the late 70’s remember, the 1953 X-ray data were from DNA fibers. So, the real “proof” for the Watson-Crick model of DNA came in 1982 after the B-form of DNA was crystallized and the X-ray pattern was solved.

If the DNA of one human cell is stretched out, it would be almost 6 feet long and contain over three billion base pairs. How does all this fit into the nucleus of one cell?


14 Important Statistics About Asian Americans: Asian-Nation #asian #american, #asian #pacific #american #heritage #month, #history, #statistics, #census #bureau, #data, #demographics, #population, #income, #poverty, #work, #employment, #patterns, #numbers


#

Research Resources Used/
Recommended for Further Reading

Brewer, Cynthia, Trudy A. Suchan, and U.S. Bureau of the Census. 2002. Mapping Census 2000: The Geography of U.S. Diversity. Environmental Systems Research.

Frey, William, Bill Abresch, and Jonathan Yeasting. 2001. America by the Numbers: A Field Guide to the U.S. Population. New York: New Press.

Denton, Nancy and Stewart E. Tolnay (Eds.). 2002. American Diversity: A Demographic Challenge for the Twenty-First Century. Albany: SUNY Press.

Mikyung Ghymn, Esther. 2001. Asian American Studies: Identity, Images, Issues Past and Present. Peter Land Publishing.

Min, Pyong Gap. (Ed.). 2005. Asian Americans. Contemporary Trends and Issues. Pine Forge Press.

Ono, Kent. 2004. Asian American Studies After Critical Mass. Blackwell Publishers.

Park, Ken (Ed.). 2006. The World Almanac and Book of Facts 2006. World Almanac.

U.S. Census Bureau. 2007. Statistical Abstract of the United States: 2007. Washington D.C. United States Department of Commerce.

Zuberi, Tukufu. 2003. Thicker Than Blood: How Racial Statistics Lie. St. Paul: University of Minnesota Press.

To accompany the article on Celebrating May as Asian Pacific American Heritage Month. the Census Bureau has compiled a brief statistical summary of the Asian American population using various Census data sources.

Population

18.9 million
The estimated number of U.S. residents in 2011 who said they were Asian or Asian in combination with one or more other races. This group comprised 5.6 percent of the total population.

52%
The percentage of the foreign-born from Asia who are naturalized U.S. citizens.

2.6 million
The number of people age 5 and older who speak Chinese at home. After Spanish, Chinese is the most widely spoken non-English language in the country. Tagalog and Vietnamese also have more than 1 million speakers.

161%
The projected percentage increase between 2008 and 2050 in the population of people who identify themselves as Asian. This compares with a 44 percent increase in the population as a whole over the same period of time.

40.6 million
The projected number of U.S. residents in 2050 who will identify themselves as Asians. They would comprise 9 percent of the total population by that year.

Education and Internet Use

50.5%
The percentage of Asians, age 25 and older, who have a bachelor’s degree or higher level of education. Asians have the highest proportion of college graduates of any race or ethnic group in the country and this compares with 28 percent for all Americans 25 and older.

85.7%
The percentage of Asians, age 25 and older, who are high school graduates.

21.2%
The percentage of Asians, age 25 and older, who have an advanced degree (e.g. Master’s, Ph.D. M.D. or J.D.). This compares with 10 percent for all Americans 25 and older. However, different Asian ethnic groups have different educational attainment levels — 68 percent of Asian Indians, age 25 and older, had a bachelor’s degree or more education and 37 percent had a graduate or professional degree; the corresponding numbers for Vietnamese-Americans were 24 percent and 7 percent, respectively.

80%
Percentage of Asian Americans living in a household with Internet use — the highest rate among race and ethnic groups.

Income and Poverty


Data Recovery, Data Recovery Sydney – Data Recover Center #apple #mac #data #recovery


#

Data Recovery Sydney Experts

DRC Australia Pty Ltd, is part of International DRC Group and is recognised as one of the�top Sydney Data Recovery companies, with the most advanced technology, tools and equipment in the data recovery and forensics field.

Our Data Recovery Sydney Lab has the capability to recover data for Individuals, Businesses, Educational, Government, Corporate institutions from all types of storage including Western Digital, Seagate, SanDisk, Samsung, LaCie, Lexar, Toshiba, Apple Macintosh, Fujitsu, Hitachi, Dell, and Iomega.

As an industry leader, we have developed expert knowledge to recover data from all leading manufacturers of Desktop, Laptops, External Drives, USB flash drive, Memory Cards, Apple Macintosh, Solid State Drive SSD, Mobile Phone, Servers, RAID 0, RAID 1, RAID 5, RAID 6 array, LTO Tape and other media storage.

Why choose the Data Recovery Sydney Experts?

  • We offer a FREE quick evaluation and quote
  • No Recovery, No Charge policy for logical cases
  • All recoveries are kept securely and conducted in a confidential manner
  • We employ a specially trained and dedicated team of data recovery staff
  • Clean Room Lab facilities for data recovery disk head replacement and platter swap
  • We offer after hours Emergency Data Recovery any day of the week
  • Member of Australia Computer Society and Information Security Association

Complex Hard Drive Data Recovery and Solid State Drives (SSD)

Data Recovery Centre (DRC Australia) also has a Research ?>