I-Mind and it’s founders are 4 of about 70 former AstraZeneca employees in Lund that has chosen to start their own businesses. The complete article in English or Swedish.

Carlyle & Conlan is sharing an overview of 2012 trends and innovations in the life science industry, encompassing its drugs, biologics, devices and diagnostics sectors…. Please read the interview, It’s All About the Data, with Dr. Antony J. Williams found on page 23 in the report

The article is found here

…find the NY Times article here

read the article in swedish or in english using the link below (Note: felräkningskällan=source of miss-calculation)

http://translate.google.se/translate?hl=sv&sl=sv&tl=en&u=http%3A%2F%2Fcomputersweden.idg.se%2F2.2683%2F1.430828%2Fden-storsta-felrakningskallan-i-foretag-ar-entreprenorers-langtidsprognoser

Please find an entertaining and very interesting TV program about Statistics by Professor Hans Rosling.

Development of information technology has enabled organizations to collect and store enormous amounts of data. However, as the data volumes increase, so does the complexity of managing them. Since larger and more complex information resources are being collected and managed in organizations today, this means that the risk of poor data quality increases.

Another often mentioned data related problem is that companies often manage data at a local level (e.g. department or location). This implies the creation of ‘information silos’ in which data are redundantly stored, managed and argue that data silos imply that many companies face a multitude of inconsistencies in data definitions, data formats and data values, which makes it almost impossible to understand and use key data.

Poor quality data can imply a multitude of negative consequences in a company. To start with, poor quality data that is not identified and corrected can have significantly negative economic and social impacts on an organization. The implications of poor quality data carry negative effects to business users through: less customer satisfaction, increased running costs, inefficient decision-making processes, lower performance and lowered employee job satisfaction.

Poor data quality also increases operational costs since time and other resources are spent detecting and correcting errors. Since data are created and used in all daily operations, data are critical inputs to almost all decisions and data implicitly define common terms in an enterprise, data constitute a significant contributor to organizational culture.

There is a strong correlation between costs inflicted by poor data quality and costs of assuring data quality shown in the figure below (Haug, Zachariassen, Van Liempd, 2010). When no or few resources are spent on assuring data quality, it will lead to high production running costs e.g. re-run development projects and making wrong decisions. Data quality in this case is the correctness of data values, the structure and degree of standardization and also completeness of data i.e. all relevant data is collected. One conclusion in the figure is also that extensively cleaning data and improving data handling, thereby ensuring high quality of the data, becomes less profitable at some point. This is illustrated by the dotted line termed “total costs”.

"Total costs incurred by data quality on the company” (Haug, Zachariassen, Van Liempd)

Where in the graph does your company reside? Do you have the data you need with needed quality?

I-Mind can help you get control of your data and turn it into knowledge!

Read the complete article here

We are pleased to announce that I-Mind from now on is present localy in Gothenburg and ready to serve the area with our Expertise.

I-Mind is to deliver the report database, statistical analysis, interpretation and study reports for a set of studies.

Today I-Mind signed a contract with a major Food Industry Company. I-Mind is to help them define and build a Data Management solution enabling efficient and effective analysis.