Business intelligence (BI) includes methods and technologies that are used to convert non-curated raw data into meaningful data for business purposes. One big key words in BI is “Big Data” associated with the hope that managing a huge amounts of data will help classifying information, identifying pattern and discovering emerging business opportunities. Continue reading “Big Data Analytic Trends in Business Intelligence” »
What is needed?
Vendors need to provide more elegant solutions to maintain their ability to compete on the market.
It becomes ever more important to implement inter-operable and cross-platform adaptable solutions that satisfy clients and enable service and IT departments to react faster and more efficient to client needs.
Agile software and IT architectural practices need to reshape how we think about our enterprise technology, about implementing change and advancing business competition. Continue reading “Enterprise IT Trends – Making Growth Flexible” »
According to a recent IDC report the expected value of the U.S. cloud market will Continue reading “Cloud Services – Golden Times Still Ahead?” »
Cloud computing’s growth is accelerating and reached new dimensions in 2012 in integrating innovative server technology, advancements of the internet and important growth steps of personal computing technologies.
Almost all business areas, such as financial and medical applications, online sale or customer relationship management, use cloud-based services to manage the continuously increasing amount of data. In addition, the media and entertainment branches show economic advance with the growing competence of information technology (IT). Continue reading “Global Future Perspective of Cloud Computing Business” »
More and more enterprises use Apache Hadoop for business analytics.
Apache Hadoop provides a platform to process Big Data that are generated on a daily basis. It is an open-source software framework for data-intensive distributed application in the cloud. Prominent users of Hadoop include Google, Facebook, IBM, Akamai, ebay or Amazon.
Hadoop enables to interact with huge amount of date on multiple of computation-independent computers. Continue reading “Hadoop Distributions: Needed Change to Improve Big Scale Business Software” »
Today’s most successful management teams know that there is the continuous need to measure up with the unremitting changes and increasing demands in business.
Being successful requires the development of concurrent business marketing strategies to make the best strategic decisions and to understand business metrics based on the most recent, real-time analyses of marketing channels.
Business metrics can be defined as the units of measurement that provides a way to empirically quantify a process. The most basic business metrics that represent the end goals of a company are “Profit/(Loss)”, “Growth” and “Cash Flow” but also may include the amount of products finished per hour, percentage of defects during a process period, hours required to deliver the product, employees needed to finish the product on time etc.
Good business metrics must be actionable and drive success.
Business metrics management is vital to understand how well a business is progressing toward its objectives. Using business process models, analysts describe the actions involved in a business and how they relate to the needed funds to accomplish the process goal(s). They assess the current state of a business and establish action plans to adapt and improve the business outcomes.
Measuring the business performance modeling is complex and most of the time it is critical to use the right software applications to understand what data need to be included in the metrics and what analysis strategies are best for best outcome.
Proper business metrics allow to:
- Understand the main processes of the present business
- Enhance responsiveness of the business to partner organization and customers/clients
- Increase profitability
- Increase the Return on Investment (ROI)
- Improve the present business structure and operations
- Provide the knowledge to create the proper data systems for the business
- Assist the alignment of business terms and technical outline that IT development needs to produce better metrics
- Present opportunities to innovate the business strategies for increase success
- Recognize outsourcing opportunities
- Provide guidance for early capitalization on new/additional business opportunities
Furthermore, business metrics may help to encourage the management team, executive personnel but also employees to focus on the big picture of the company, to differentiate important from trivial tasks and to place greater weight on strategy and organizational results to improve the business outcome.
Using technology in daily life impacts how and where people work.
The number of global users of mobile devices is continuously increasing. More and more people around the world have access to information, knowledge and educational opportunities.
Soon, the world will have an even bigger talent pool and this huge number of gifted and skilled people will compete with each other for job openings. Continue reading “Transnational Virtual Work Opportunities” »
The “Prisoner’s Dilemma” has had a profound influence on defining the likelihood to project outcomes in economics, evolutionary biology and, of course, game theory itself.
To the surprise of theorists who have studied the “Prisoner’s Dilemma” for decades, in May 2012, Freeman Dyson (Princeton University) and William Press (University of Texas) publicized a before unknown tactic to solve the question of the “Prisoner’s Dilemma” which promises that one player will have a better outcome of the ‘game’ than another player. Continue reading “Game Theory – Innovations to Solve the Prisoner’s Dilemma” »
The progress in Big Data processing and management, data mining technologies, neural networks and simulation applications allows detailed tracking of past data and analyzing patterns that is used to predict future behaviors, health, traffic or forecasts airfare fees.
Predictive technologies are increasingly entering businesses and marketing, medicine, epidemiology, security etc. Continue reading “Predictive Technologies – How Yesterday Forecasts Tomorrow” »
The openness and interconnectedness of the internet is advantageous but also bears risks for commerce and consumers, private information exchange and sensitive data management. Using the web makes shopping, sharing information and using financial and medical apps extremely fast and suitable but it also opens door for information misuse while transferring data, such as credit card numbers, addresses and shopping preferences.
To reduce the threats of data theft, different encryption technologies have developed that make sure that only authorized persons or organizations are able to decipher sensitive information.
Encryption is defined as the translation of data into a secret code to create and maintain most operative data security. Encryption has it foundation in cryptography, which is the science of codes and ciphers to guard secret information. Continue reading “Encryption Technology – Securing your Information” »