Database Management System(DBMS)

“in a world where scientists have sequenced the three billion based pairs that make up human DNA,we take for granted the benefits brought to us by relational databases” Carlos Coronel(2013)

Making vital decisions to taking advantage of current opportunitie presented by the digital world,from which raw facts can be derived from, known as data.

Example of Raw Facts:

CCAFS Big Facts on coffee production in Latin America (facts not from the Working Paper) by Cecilia Schubert, CCAFS Communications Officer with theme Data & Tools and Linking Knowledge with Action.

Latin-America8-356x420

 

Raw facts can be effectively and efficiently managed when stored in a database which can be stored,access and adjusted swiftly when required.

Having a good understanding of the features and benefits of filing systems is vital due to the fact that, this is usually the source of complex data management limitations.

data management pic

 


 

References & Resources

Text book

Stephen Morris, Keeley Crockett , Peter Rob & Carlos Coronel (2013) ;Database Principles: Fundamentals of Design, Implementations and Management

Online;A look at how a changing climate will hit South and Central America:https://ccafs.cgiar.org/research-highlight/look-how-changing-climate-will-hit-south-and-central-america#.VbCuobVd3s0 retrieved 23th July 2015.

http://www.firstsanfranciscopartners.com/practices/data-management/

Big Data Analytic

Big Data Analytics is high-volume

Let first start by understanding what a data is and then proceed to what really are Big Data Analytic and the importance of Big Data Analytics to individual business and organisation.

A Data can be referred to as a collection of facts, like numbers, words, measurements, observations, facts, or even just explanatory of things.

  • Qualitative data is descriptive information in nature (it describe)
  • Quantitative data, this is numerical information in nature (numbers)

 

While Big Data Analytics is defined “ as the process of examining large data sets containing a variety of data types — i.e., big data — to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits” Margaret Rouse(2015).

Importance of Big Data Analytics

Big data analytics helps organizations to analyse a mix of structured, semi-structured and unstructured data in a bid to detect valuable business information and insights which will help in the growth of the organisation and gain competitive advantage. This help in the examination of large data sets which contain a mixture of data types.

The Big Data Analytics help in the following ways:

  • It reveals hidden patterns
  • Unknown correlations and reveals common misconceptions
  • Current Marketing trends
  • Preferences of Customers’
  • Reveals Growth and sustainability.
  • Provide valuable business information.
  • Opens doors to new revenue opportunities
  • Improves customer relationship and services
  • Effective and efficient operational service.

Why Businesses should be interested in Big Data Analytics

According to the research firm IDC, “the worldwide big data technology and services market will grow at a 27% compounded annual rate, to exceed $32 billion by 2017”.

The emergent of the social networks, Blogging and apps is revealing a lot of information that was not readily available before. Organisations are learning to use this fundamental new source of data to generate more revenue.

Businesses needs to show more interest in big data because it can help reveal more patterns and interesting variances than smaller data sets, with the possibilities to shows new observation into the customer’s behaviour, patterns or perception of customers  and much more.                                                                     Never the less, to gain business value from data’s obtained; new technologies & tools are required, which can managing and analyse non-traditional data and work together with the traditional enterprise data.

big data sourceDom Nicastro (2013): Data Week’s 2013 Award Winners for Analytics and Big Data Strategies

 

References & Resources

 

Tiffani Crawford (2013) Big Data Analytics Project Management

http://www.cmswire.com/cms/information-management/dataweeks-2013-award-winners-for-analytics-and-big-data-strategies-022285.php

Inhi Cho Suh (2014) Vice President of Big Data, IBM: Five Ways Companies Can Compete Using Big Data and Analytic: http://www.forbes.com/sites/ibm/2014/04/14/five-ways-companies-can-compete-using-big-data-and-analytics/

 

 

Management Information System (MIS)

Welcome to DBS Data management project.

IT issues are part of an organisation internal competitive advantage.the achievement of top management decisions mostly depends on data and information available.

This blog is about the developmental,policies and procedure of data management which entails managing information life cycle needed in an organisation in an effective manner.

Management Information System (MIS)

Management information systems involved user management in considering the information they used and how they used it.IS professionals had to find new techniques of information analysis such as data modelling entity analysis to find ways of organising and delivering information for effective management

MIS (Management Information Systems)” is the hardware and software systems within an enterprise that provide the information that management needs to run an enterprise” (Margaret Rouse, 2014).

MIS

 

 

MIS is used widely in different contexts as a decision support systems, resource and human capital management applications, project management and database management applications. MIS covers systems which are critical to the success and survival of the business

 

References

John Ward and Joe Peppard (2011) Strategic Planning for Information Systems,3rd edition.

Margaret Rouse (2013); online: http://searchdatacenter.techtarget.com/definition/MIS