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Data Analysis and Report Generation in Enterprise Mobility Solution
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 3 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 525 Data Analysis and Report Generation in Enterprise Mobility Solution A.M.Ravishankkar1, D.P.Sriridanya, N.Sarmila Devi, A.Sripriya, K.Santhoshini2 1Assistant professor, Department of Computer Science and Engineering, Jay Shriram Group of Institutions, Tirupur Tamilnadu, India 2Student, Jay Shriram Group of Institutions, Tirupur Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract- Enterprise mobility is latest trend where more employees working out of the office and using mobile devices and cloud services to perform business tasks. As these workers started using these devices in workplace for enterprise related activity, the need for Data analysis is increased in enterprise mobility solution. The role is to analyze enterprise data collected from multiple sources and present report to the Business manager so that they can make more informed decision. The analysis also helpstoimprovecustomerservicewherecustomeris served better on day today process. In this project data analysis and report generation is made using Drupal framework. The data are acquired from backend component using Restful web service. The data are in JSON format and it is converted to report format by using AmCharts API. The next step is to select the method to generate the report and it is submitted to the API’s for evaluation with visual analytics such as Google chart and Google analytics. The result of the analyzed data is taken for output using some user interface tools called HTML5 and CSS. We can generate the output according to the requirements of the end users like Tables, Graphs and Charts etc... Key Words: Enterprise Mobility Solution, Data Analysis, Visualization, Report Generation, Amcharts API, Drupal Framework, Business Intelligence. I. Introduction Enterprise Mobility Management is the set of people, processes and technology focus on managing mobile devices, wireless networks, and other mobile computing services in a businesscontext. E-commerce has evolved from simple websites into providingsupportforend-to-endbusinessandrecently four technology areas have emerged, namely mobility, social media networks, cloud and analytics[1]. Human mobility data can be potentially used in business intelligence-oriented systems, for providing added value commercial services or insight to internal enterprise[2].Withtheriseofsmartphonesandtablets, the workforce began to shift towardmobilitythismade data analysis increasingly significant in enterprise mobility solution. Enterprise mobility is particularly prominent among companies that rely on field operations and field servicestoserviceendconsumers, as well as in field sales operations. The term Data analysis refers to the process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision- making[3]. The term Data visualization refers to presenting data in a pictorial or graphical format (chart, graph, diagram etc..) whichenablesthe decision maker to see analytic present visually and helps them to take more informed decision and visualanalyticsisa very promising field of research[4]. Here DATA ANALYSIS AND REPORT GENERATION is made using Drupal framework which is a free, open source web contentmanagementsystem (CMS Content Management System), also known as content managementframework[5].Atfirsttheworker and customer data such a purpose of visit, collection, order data is collected from multiple sources and reports are presented for order collection tracking, customer monitoring, PDGSCB.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 526 II. MAIN CONCEPTS A. Drupal Framework Drupal is a free and open-source content-management framework written in PHP and distributed under the GNU General Public License It is used as a back-end frameworkfor at least 2.1% of all Web sites worldwide ranging from personal blogs to corporate, political, and government sites including WhiteHouse.gov and data.gov.uk. It is also used for knowledge management and business collaboration. The standard release of Drupal, known as Drupal core, contains basic features common to content management systems. These include user account registration and maintenance, menu management, RSS feeds, taxonomy, page layout customization, and system administration.TheDrupal core installation can serve as a simple Web site, a single- or multi-user blog, an Internet forum, or a community Web site providing for user-generated content B. JSON JSON (JavaScript Object Notation)is alightweightdata- interchange format. It is easy for humans to read and write. It is easy for machines to parse andgenerate.Itis based on a subset of the JavaScript Programming Language, Standard ECMA-262 3rdEdition-December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript,Perl,Python,andmany others. These properties make JSON an ideal data-interchange language. JSON provides a higher level of flexibilityand efficiency [6]. JSON is built on two structures: •A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. •An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. Theseareuniversaldatastructures.Virtuallyall modern programming languages support them in one form or another. It makes sense that a data format that isinterchangeablewithprogramminglanguagesalsobe based on these structures Figure -1: JSON C. AmCharts AmCharts is a private proprietorship focusing on development on mostly developer- oriented programming tools for data visualization – charts and maps. AmCharts is an advanced charting library that will suit any data visualization need. Amchart charting solution includes Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges. The set includes serial (column, bar, line, area, step line, step without risers, smoothed line, candlestick andgraphs), pie/donut, radar/polar, y/scatter/bubble, Funnel/Pyramid charts and Angular Gauges. The AmCharts offers unmatched functionality and performance in a modern, standards compliant package. JS charting library is responsive and supported by touch/mobile devices Features of AMCHARTS: (a)Supports All Modern Browsers (b)Super and Powerful (c)Setup Charts with JSON Object
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 527 III. METHODOLOGY A. Input Inputs are collected from various web services like restful services. All the services are collected from different areas and stored in local and process are carried out based on user requirements. The basic inputs are in the form of JSON. But it does not follow proper format. The main thing is to change the inappropriate format to correct format by using JavaScript language. B. Work flow The basic workflow is formatted input is sent to AmChart API. By using the AmChart API the charts are created based on the user requirements. The result is produced in charts and graphs. The advantage is the user can easily understand the basic workflow of the project. It supports user friendly and more look and feel effect. And support for browser integration and versions. More animation effects are used to attract the users. C. Modules 1) USER GENERATION: In this module two processes are carried out. The first process allows the customer to create their name, location, phone number, image and email-id. It also provides the user to edit their personal details. In second process it allows the employee to enter their details like their name, location, phone number, image and email-id and setting IMEI number. 2) ADMINISTRATION: In administration module 5 processes are carried out namely approval for employee and customer, altering the employee, altering the customer, work assignment and tracking. The admin has the rights to altering the details of both customer and employee. It allows the admin to add, edit, and delete customer details and employee details. In work assignment process the administrator assigns the daily task to all sales person and set sales person target. Admin assign the Sales personIMEInumbertotrackdailylocationforchecking the visiting details 3) PDGSCB CALCULATION: PDGSCB calculation modules calculate the awarding criteria. PDGSCB is calculated based on product purchased, based on the amount andbasedonthedate. The criteria calculate the overall average in the form of Platinum, Gold, Diamond, Silver, Copper and Bronze. PDGSCB Calculation Rules: Platinum = Customer purchase amount >= 1, 50,000 Diamond = Customer purchase amount < 1, 50,000 Gold =Customer purchase amount <90,000 Silver =Customer purchase amount <45,000 Copper =Customer purchase amount <21, 000 Bronze =Customer purchase amount < 12,000 4) ORDER COLLECTION TRACKING: In order collectiontrackingmodulethreeprocessesare carried out. Namely, tracking order, collection analysis and delayed payment. In trackingorder,itcontainstwo data’s namely orderdataandcollectiondata.Thesetwo data come in different services, to get the data using JQuery and stored in local storage. By which all the process carried out are tracking in this process. In collection analysis process allows to access data and identify whether the customer paid or not paid the amount. In delayed payment process it checks the total amount and divided into 5 weeks. Collection data is used to check the paid amount and week number. All
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 528 the process is carried out in order collection tracking process 5) CUSTOMER MONITORING: In customer monitoring module it involves two processes namelynilcustomerandbaddebitcustomer. The nil customer describes the customer who are all not involving in the order are referred as nil customer the time period for the nil customer is allotted for 30 days. The second process is bad debit customer it represents the customers who are not paying the amount within 30 days. Figure -2: System Flow Diagram 6) USER INTERFACE DESIGN: Figure -3: Dashboard Figure -4: Day Plan
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 529 Figure -5: Bad Debit Chart View Figure -6: Nil Customer Chart View Figure -7: PDGSCB Donut Chart View Figure -8: Order Collection Chart View
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 530 IV.CONCLUSION This “DATA ANALYSIS AND REPORT GENERATION” provides a convenience to the customer for easy understanding in the way of graph, chart. It eliminates manual work for the customer or user in searching a specific data instead of table format or HTML table view. It also reduces time. From the generated report Businessmanagercantakemoreinformeddecisionand customer is served better in the day to today process. REFERENCES [1]. V.Shankararaman and L.E. Kit, “Enterprise systemsenablingsmartcommerce,” Proc.-16th IEEE Conf. Bus. Informatics, CBI 2014, vol. 2, pp. 50–53, 2014. [2]. A. Antoniou, E. Theodoridis, I. Chatzigiannakis, and G. Mylonas, “Human mobility trace acquisition and social interactions monitoring for business intelligence using smartphones,” Proc. 2012 16th Panhellenic Conf. Informatics, PCI 2012, no. i, pp. 1–6, 2012 [3]. P. Bihani and S. T. Patil, “A Comparative Study of Data Analysis Techniques,” Int. J. Emerg. Trends Technol. Comput. Sci., vol. 3, no. 2, 2014. [4]. D. a. Keim, F. Mansmann, and H. Ziegler, “Challenges in Visual Data Analysis,” Inf. Vis., no. IV 2006, pp. 9–16, 2006. [5]. C. Xiaoli and W. Ziniu, “The Web Development Based on the Drupal System,” Bus. Comput. Glob. Informatiz. (BCGIN), 2012 Second Int. Conf., pp. 778–780, 2012. [6]. B. Lin, Y. Chen, X. Chen, and Y. Yu, “Comparison between JSON and XML in Applications Based on AJAX,” Proc. - 2012 Int. Conf. Comput. Sci. Serv. Syst. CSSS 2012, no. February 1998, pp. 1174–1177, 2012.
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