Data Visualization in Training and development

Introduction:

Data visualization help to discover the trends in data in addition it’s easier to monitor data movements when all information is placed out visually. So that, data visualization mean for the company is the illustration of data through a various graphics like as charts, plot, infographics and even animations. However, through the data visualization company able to find a visual idea of what the data means by given it visual framework through the maps or graphs which help to make more natural for human mind to understand and therefore makes it easier to categorize trends, outlines and framework within bulky data sets. So, for marketing agency data visualization has a great impact to improve the business development growth. Say for example when management try to establish two aspects of data or project details within the company management team in that situation through a data visualization management easily can show an information. Which is make easier for the employee to quick understand the information which is presented and consider the consequence from the data.

Why data visualization important for the business:

Data visualization play an important role for the business due to explain or translation of the data into visual context. Hereby will discuss why data visualization is important for the Marketing agency or any business-

·       Data visualization has ability to absorb data or information quickly then progress the insights and make faster decisions for the business.

·       Through the data visualization organization able to understand when need to upsurge next steps.

·       Progress ability to maintain the viewers interest with information they can realize.

·       An effective distribution of information that make more opportunity to share insight with everyone involved.

·       Carefully related to trends over the time frequency such as examining rate. Furthermore, it observes how often customer buy their product and when customer feel better or how potential the new customer etc.

·       Eliminate the essential for information scientists since information is more reachable and comprehensible.

·       Finding at worth and risk metrics requires proficiency due to without data visualization we must understand difficult spreadsheets and figure. Most importantly, one information may can change the game where may or may not require action which information company able to visualize through data visualization.

·       The capability to obtain data firster and untenantable with data displayed clearly on a functional dashboard and then allow business to take necessary action and help to avoid make mistake.

·       Lastly data visualization has an ability to act on searching first and therefore accomplish target or success with better speed and less blunder.

Data visualization & Big data:

Nowadays the important of big data and data analysis projects have made visualization more significant mote than ever. Marketing agency are significantly using machine learning to collect enormous data or information that can be hard and need more time to sort through, understand and explain. So, data visualization offers a means to speed this up and present information to business.

While data visualization can be valuable, it might pose several drawbacks for the company. There are as follows:

·       To find most data visualization process or tools company need to hired data visualization specialist.

·       Most cases data visualization project needed IT support, as well as management, so data for data visualization might be require more data and more power full computing system like hardware, efficient storage systems and even a move to cloud.

 

Common data visualization uses cases:

Hereby would like to discuss some common use cases where data visualization may use-

§  Sales and marketing: Now a days most company spent more money for advertising and specially in online. As a result, marketing team must pay more focus on their sources of web traffic and how company their web properties generate revenue. Here data visualization makes it easy to observe traffic trends over time as a result of marketing efforts

§  Finance: in financial sector we can see company need to track the financial performance of their investment decision when selecting to purchase or sell the assets. Here candlestick charts are used as trading tools and support financial professionals analyze financial movement over the period and showing important information such as, securities, derivatives and currencies, stock etc. so here by data visualization help to find out the trends how price has changed over the time and important changes regarding financial movement.

§  Logistics: Nowadays shopping company are using data visualization tool. Such as, shopping companies need to understand their shipping ways so that by the data visualization company able to determine the best global shipping routes.

 

Conclusion

Finally, Business and employee all need a data visualizations support because the human brain is not good enough to prepared to devoir so much raw, messy data and turn it into something practical and understand able. So that business need data visualization such as graphs and charts to communicate data finding so management can easily indicate patterns and trends to gain perception and make better assumptions.

 

 

 

 

 

Reference

Chen, C.H., Härdle, W.K. and Unwin, A. eds., 2007. Handbook of data visualization. Springer Science & Business Media.

Friendly, M., 2008. A brief history of data visualization. In Handbook of data visualization (pp. 15-56). Springer, Berlin, Heidelberg.

Ali, S.M., Gupta, N., Nayak, G.K. and Lenka, R.K., 2016, December. Big data visualization: Tools and challenges. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 656-660). IEEE.

Herrmann, M.R., Brumby, D.P., Oreszczyn, T. and Gilbert, X.M., 2018. Does data visualization affect users’ understanding of electricity consumption?. Building Research & Information, 46(3), pp.238-250.

Wang, C., Yu, H. and Ma, K.L., 2008. Importance-driven time-varying data visualization. IEEE Transactions on Visualization and Computer Graphics, 14(6), pp.1547-1554.

Bresciani, S. and Eppler, M.J., 2009. The risks of visualization. Identität und Vielfalt der Kommunikations-wissenschaft (2009), pp.165-178.