This document discusses the development of enterprise systems and the software solutions provided by Lawson and Birst. It explores the features and benefits of cloud solutions, artificial intelligence, and dynamic enterprise performance management. The document also covers the Hospitality Management Solution provided by Infor HMS.
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Running head: DEVELOPING ENTERPRISE SYSTEM DEVELOPING ENTERPRISE SYSTEM Name of the Student Name of the Organization Author Note
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1 DEVELOPING ENTERPRISE SYSTEM The company named Lawson is mainly a software solutions company which is mainly industry tailored and it is capable of providing a number of software solutions to all of their respective customers. Birstis mainly a native business intelligence or BI of the cloud as well as a platform of business analytics which provides a lot of help to several organizations in both understanding as well as optimizing several processes which are very much complex within a very small interval of time as compared to some other traditional solutions of business intelligence (Howson et al. 2018). It is built with an automation which is patented and with several technologies of machine learning. The approach of the networked business intelligence which is provided by Birst helps a lot in connecting both teams as well as several applications across the whole enterprise through a network of analytics which can be trusted and also through several insights for informing decisions which will be smarter (Parenteau et al. 2016). This particular unique approach helps all the leading companies to a great extent in improving profitability, reducing cost, increasing the revenues as well as in transforming the way they mostly do their business. Some of the features of this particular software solution involves networked BI, smart analytics, semantic layer which is agile, blending of both centralized as well as de-centralized data, adaptive experience of the user, accessibilityof the informationanywhere from any type of device,modern native architecture of cloud and creation of revenue with the help of data (Sallam et al. 2014). With about more than about 130000 total customers globally, two days or even less lead times of delivery having about 120 suppliers, the Citrix Systems requires to aggregate data rapidly across about a huge number of systems. This Citrix Systems has chosen Birst for digitally networking this particular data and recently possess global as well as a visibility which is nearly real time and this is managed by a single person of information technology.
2 DEVELOPING ENTERPRISE SYSTEM CloudSuiteDistributionEnterpriseismainlyacloudsolutionwhichisboth comprehensive as well as scalable, designed for a huge and global distributers of wholesaling who are very much focussed upon the growth, engaging the customers and also upon having demands for several services which are extended. It is specifically a multi-sited, multi-currency as well as a multi-language solution possessing special capabilities in encompassing each and everything starting from the management of warehouse to all the financials, sales orders which are multi-channelled, buying, adding values and many more (Nowak et al. 2015). This particular solution has the capability of providing both scalability as well as flexibility for easily taking on a number of full new markets as well as in quickly adapting for any kind of changes with an effortless use of up to about 49 different locations and 24 languages. Some of the features of this specific solution involves embedded analytics, altering and flow of work, search for the enterprise, management of document and lastly the extensibility through the platform of Infor ION. There are a number features as well as benefits which are associated with this solution. Some of them are functionalities which are basically industry-rich, modern interface for the users and a seamless integration (Yasin, Ben-Asher and Mendelson 2014). The functionality of the distribution ERP meets all the requirements of several wholesale distributers for building materials, food as well as beverage and several supplies of plumbing and HVAC. A particular user interface which is intuitive can be personalized for fitting all the varied requirements of the employees and helps in fostering a working environment which will be very much productive. Coleman AIis basically an Artificial Intelligence which has the capability of maximising the potential of human. Artificial Intelligence along with machine learning have helped a lot in making work much smarter (Johnson et al. 2016). Infor Coleman is mainly a very powerful AI robot which has been specially designed for several users of the business. It is particularly built
3 DEVELOPING ENTERPRISE SYSTEM upon a foundation of data which is mostly industry specific. At any moment which will be given, itcanhelpalotwithseveraltaskswhichareexecuting.Italsohelpsinproviding recommendations for the next best offers of sales and also in predicting several issues reading maintenance as well as in adjusting several schedules of production accordingly. It is known to be named after the most inspiring mathematician as well as a physicist Katherine Coleman Johnson, whose specific work which is trail blazing has helped NASA in landing upon the moon. Coleman mostly represents a huge leap for AI at scale. Some of the features as well as benefits of Coleman AI involves augmentation of work, process automation and getting advice intuitively (Russell and Norvig 2016). As the Infor OS’s front end, several capabilities for the future will be coming through Coleman on any device. But as the back end is concerned, a potential cognitive system of intelligence has the capability of processing data with the help of several intelligence tools of business which are networked, analytics as well as machine learning which helps a lot in making better decisions. It also has the capability of instantly sourcing data, automating several processes which are repetitive and also in optimizing the flow of works. Coleman can free up all of the talents for focusing upon several values which are highly valued. Coleman has the ability to learn by asking a number of questions and in narrowing several options for providing recommendations. Dynamic Enterprise Performance Managementis mainly the measurement of the past performance and all the activities which are forecasted with the help of an EPM software which is dynamic. If a holistic view is taken of the performance of the business with the Infor Dynamic Enterprise Performance Management, all the modern business tools which are intelligent are combined with all the capabilities of financial performance management into one single solution of EPM software (Teece 2014). D/EPM provided with the capability to consistently report with
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4 DEVELOPING ENTERPRISE SYSTEM great confidence, past measurement and also recent performance and forecasting of all the activities in the future. Both analytics in depth and business intelligence provides a view of the performance based upon real time across the business for speeding up the making of decisions and hence siloed data can be unlocked and information can be transformed into several sights which are actionable. Several features as well as benefits of the D/EPM involves intelligent management of financial performance, planning for the workforce and risk and compliance which are holistic (Hong, Zhang and Ding 2018). There is an improvement in modelling which is predictive and in planning of the operation as well. It also improves the budgeting of the workforce, estimation of the sales and also provides with an improvement of the corporate management with the help of the software of EPM. Several plans can be made for covering the gaps and product line needs so that the headcount can be optimized for meeting all the scheduling needs. Both continuous as well as automated monitoring can be leveraged for streamlining all the audits which are external. The compliance cost can also be cut as well as a holistic view of data and access of the users across several environments of business can also be taken. Both risks of security breaches as well as non-compliance can be minimized to a great extent. Hospitality Management Solutionis mainly provided with the Infor HMS which is a software for the management of the property of the hotel. Infor Hospitality Management Solution (HMS) is a particular system of hotel property management which is specially built for the cloud with great security, mobile capabilities as well as flexibility for delivering a huge guest experience. With the help of the property management software of HMS, employees are provided with the access to all the information which are actionable about both prospects as well as guests and this further allows all of them for quickly assessing each booking and for offering a
5 DEVELOPING ENTERPRISE SYSTEM rich experience (Legohérel, Fyall and Poutier 2013). Integration can be leveraged from the management system of the property of the hotel to all the systems which are operational. The suite of solutions of Infor also helps a lot in streamlining processes like the management of revenue, accounting and orders of work. This particular solution provides with a number of benefits as well as features. Some of them are cloud ensured security as well as flexibility, tracking of the preferences of the guest for providing with a better service which is personalised and building operations of mobile for hospitality (Wang et al. 2015). HMS is mainly a true multi- tenant architecture of cloud which can be easily deployed on-premise in a public cloud on the AWS or rather in private. It has the capability of offering reliability of the data centers which are regional which are mostly managed by all the leaders of the field of the management of big data (Smith et al. 2015). HMS can also track all the preferences of the guests and helps in automatically matching as well as merging the data of the guest. This helps in providing a better service to the guest.
6 DEVELOPING ENTERPRISE SYSTEM References Hong, J., Zhang, Y. and Ding, M., 2018. Sustainable supply chain management practices, supply chaindynamiccapabilities,andenterpriseperformance.JournalofCleaner Production,172, pp.3508-3519. Howson, C., Sallam, R.L., Richardson, J.L., Tapadinhas, J., Idoine, C.J. and Woodward, A., 2018.Magicquadrantforanalyticsandbusinessintelligenceplatforms.Retrieved Aug,16, p.2018. Johnson, M., Hofmann, K., Hutton, T. and Bignell, D., 2016, July. The Malmo Platform for Artificial Intelligence Experimentation. InIJCAI(pp. 4246-4247). Legohérel, P., Fyall, A. and Poutier, E. eds., 2013.Revenue management for hospitality and tourism. Woodeaton: Goodfellow Publishers. Nowak, A., Yasin, A., Mendelson, A. and Zwaenepoel, W., 2015. Establishing a base of trust withperformancecountersforenterpriseworkloads.In2015{USENIX}Annual Technical Conference ({USENIX}{ATC} 15)(pp. 541-548). Parenteau, J., Sallam, R.L., Howson, C., Tapadinhas, J., Schlegel, K. and Oestreich, T.W., 2016. Magicquadrantforbusinessintelligenceandanalyticsplatforms.Recuperadode https://www. gartner. com/doc/reprints. Russell, S.J. and Norvig, P., 2016.Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.
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7 DEVELOPING ENTERPRISE SYSTEM Sallam, R.L., Tapadinhas, J., Parenteau, J., Yuen, D. and Hostmann, B., 2014. Magic quadrant for business intelligence and analytics platforms.Gartner RAS core research notes. Gartner, Stamford, CT. Smith, N.A., Sabat, I.E., Martinez, L.R., Weaver, K. and Xu, S., 2015. A convenient solution: Using MTurk to sample from hard-to-reach populations.Industrial and Organizational Psychology,8(2), pp.220-228. Teece, D.J., 2014. The foundations of enterprise performance: Dynamic and ordinary capabilities in an (economic) theory of firms.Academy of management perspectives,28(4), pp.328- 352. Wang, X.L., Yoonjoung Heo, C., Schwartz, Z., Legohérel, P. and Specklin, F., 2015. Revenue management: Progress, challenges, and research prospects.Journal of Travel & Tourism Marketing,32(7), pp.797-811. Yasin, A., Ben-Asher, Y. and Mendelson, A., 2014, October. Deep-dive analysis of the data analytics workload in cloudsuite. In2014 IEEE International Symposium on Workload Characterization (IISWC)(pp. 202-211). IEEE.