A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges

In today's world the data is considered as an extremely valued asset and its volume is increasing exponentially every day. This voluminous data is also known as Big Data. The Big Data can be described by 3Vs: the extreme Volume of data, the wide Variety of data types, and the Velocity required processing the data. Business companies across the globe, from multinationals to small and medium enterprises (SMEs), are discovering avenues to use this data for their business growth. In order to bring significant change in businesses growth the use of Big Data is foremost important. Nowadays, mostly business organization, small or big, wishes valuable and accurate information in decision-making process. Big data can help SMEs to anticipate their target audience and customer preferences and needs. Simply, there is a dire necessity for SMEs to seriously consider big data adoption. This study focusses on SMEs due to the fact that SMEs are backbone of any economy and have ability and flexibility for quicker adaptation to changes towards productivity. The big data holds different contentious issues such as; suitable computing infrastructure for storage, processing and producing functional information from it, and security and privacy issues. The objective of this study is to survey the main potentials & threats to Big Data and propose the best practices of Big Data usage in SMEs to improve their business process

A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges

In today's world the data is considered as an extremely valued asset and its volume is increasing exponentially every day. This voluminous data is also known as Big Data. The Big Data can be described by 3Vs: the extreme Volume of data, the wide Variety of data types, and the Velocity required processing the data. Business companies across the globe, from multinationals to small and medium enterprises (SMEs), are discovering avenues to use this data for their business growth. In order to bring significant change in businesses growth the use of Big Data is foremost important. Nowadays, mostly business organization, small or big, wishes valuable and accurate information in decision-making process. Big data can help SMEs to anticipate their target audience and customer preferences and needs. Simply, there is a dire necessity for SMEs to seriously consider big data adoption. This study focusses on SMEs due to the fact that SMEs are backbone of any economy and have ability and flexibility for quicker adaptation to changes towards productivity. The big data holds different contentious issues such as; suitable computing infrastructure for storage, processing and producing functional information from it, and security and privacy issues. The objective of this study is to survey the main potentials & threats to Big Data and propose the best practices of Big Data usage in SMEs to improve their business process

EFFECT OF SPATIAL ARRANGEMENT AND FOLIAR APPLICATION OF GROWTH REGULATING HORMONE ON THE FLOWER HEAD DEVELOPMENT OF COCKSCOMB UNDER THE TROPICAL ARID ENVIRONMENT OF SOUTHERN PUNJAB, PAKISTAN

This investigation was carried out at Experimental Farm, Faculty of Agriculture Science and Technology, Bahauddin Zakariya University, Multan (Pakistan). The objective of this study was to produce high quality Celosia flower head as cut flower under the harsh environmental conditions of southern Punjab by using different plant spacing and different concentrations of Gibberellin (GA3). The seedlings were grown by seed and then transplanted in the field in the first week of August. Seedlings were irrigated daily and fertilized with 100 ppm NPK solution with alternate irrigation before transplanting. Field was well prepared by irrigation and spading twice and adding about 1.5 kg Diammonium phosphate (DAP) at the rate of 150 kg/hectare as phosphorus source, about 2 kg Muriate of Potash (MOP) at the rate of 200 kg/hectare as potash source and about 1kg urea at the rate of 100 kg/hectare as nitrogen source prior to transplanting. Then, seedlings were transplanted in randomized complete block design. There were three levels/concentrations of GA3 (0, 25 and 50 mg/l) and three levels of plant spacing (22.50, 30.00 and 37.50 cm) making overall 9 treatments and these treatments were tested in 3 replications. The analysis of variance indicated that best results were achieved when plant spacing of 37.5cm was used in combination with GA3 application (at the rate of 50 mg/l) where significant increase in chlorophyll contents, leaf area and number of leaves, fresh and dry weight of stem, flower diameter and fresh and dry weight of flower of Celosia cristata were found compared to all other treatments tested