Migration-trends file is the file on which u have to do the analysis and the other file is the...

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Migration-trends file is the file on which u have to do the analysis and the other file is the assignment requirements...Plzzz do according to requirementsAustralian Migration Statistics, 2018-19 Contents 	Australian Migration Statistics, 2018–19 	Released November 2019 	This page contains a hyperlinked table of contents, the table links begin with a related tab number followed by a description of the data. 	Table of contents 	Caveat 	Australia's permanent migration outcome 	1.0 Australia's Migration Program outcome, 1984–85 to 2018–19 	1.1 Migration Program outcome by category, 2009–10 to 2018–19 	1.2 Skill stream outcome by location, applicant type and gender, 2009–10 to 2018–19 	1.3 Skill stream outcome—top 15 citizenship countries, Employer Sponsored visas, 2009–10 to 2018–19 	1.4: Skill stream outcome primary applicants, Employer Sponsored visas by nominator industry, 2007–08 to 2018–19 	1.5 Skill stream outcome primary applicants, Employer Sponsored visas—top 10 nominated occupations by ANZSCO Unit Group, 2009–10 to 2018–19 	1.6 Skill stream outcome—top 15 citizenship countries, Points Tested Skilled Migration visas, 2009–10 to 2018–19 	1.7 Skill stream outcome primary applicants, Points Tested Skilled Migration visas—top 10 nominated occupations by ANZSCO Unit Group, 2009–10 to 2018–19 	1.8 Skill stream outcome—top 15 citizenship countries, Business Innovation and Investment visas, 2009–10 to 2018–19 	1.9 Family stream outcome—top 15 citizenship countries, Partner visas, 2009–10 to 2018–19  	1.10 All other Family stream and Child visa outcomes—top 15 citizenship countries, Parent, Other Family and Child visas, 2009–10 to 2018–19  	1.11 Permanent migration places granted to former international students in Australia, 2009–10 to 2018–19 	Temporary entry visas granted 	2.0 Temporary visas granted by visa category, 2001–02 to 2018–19 	2.1 Primary Temporary Resident (Skilled Employment) visas granted as a proportion by location and last visa held, 2009–10 to 2018–19 	2.2 Intra-company transfer Temporary Resident (Skilled Employment) visas granted by applicant type, 2009–10 to 2018–19 	2.3 Temporary Resident (Other Employment) visas granted by visa type, 2016–17 to 2018–19 	2.4 Visitor visas granted—top 15 citizenship countries, 2009–10 to 2018–19 	Detailed statistical information is available in Excel pivot tables at www.data.gov.au for the following visa categories:  	Temporary Resident (Skilled Employment) visa 	Working Holiday Maker visas 	Student visas 	Temporary Graduate visa (subclass 485) 	Australia's Humanitarian Program 	3.0 Humanitarian Program visas granted by component and visa category, 2009–10 to 2018–19 	3.1 Offshore humanitarian visas granted—top 10 countries of birth, by gender, 2014–15 to 2018–19 	3.2 Offshore humanitarian visas granted by age group, by gender, 2014–15 to 2018–19 	3.3 Final Permanent Protection visas granted—top 10 countries of citizenship (non-IMA), 2017–18 and 2018–19 	3.4 Temporary protection visas granted by type, 2017–18 and 2018–19 	Visa non-compliance 	4.0: Visa cancellations by visa category, 2016–17 to 2018–19 	4.1: Visa cancellations—top 10 countries of citizenship, 2016–17 to 2018–19 	4.2: Returns and removals, 2016–17 to 2018–19 	4.3: Returns and removals by arrival visa category, 2016–17 to 2018–19 	4.4: Returns and removals—top 10 countries of citizenship, 2016–17 to 2018–19 	Net Overseas Migration 	5.0: Net Overseas Migration arrivals ('000s of persons) by category, 2009 to 2018 	5.1: Net Overseas Migration departures ('000s of persons) by category, 2009 to 2018 	Detailed statistics on Net Overseas Migration can further be found on the Australian Bureau of Statistics website, see: 	ABS, Migration Australia, 2017-18 (cat. no. 3412.0) 	ABS, Australian Demographic Statistics (cat. no, 3101.0) 	ABS, Australian Historical Population Statistics (cat no. 3105.0) – Migration 	Citizenship in Australia 	6.0 Australian citizenship conferrals by gender—top 15 countries of original citizenship, 2018–19 	Migration and the labour market 	7.0 Employment growth by Australia-born and overseas-born 	7.1 Unemployment and participation rates by time in Australia, 2016 Census 	7.2: Decomposition of changes in Australia’s labour force participation rate between 2000–01 and 2018–19 	Click here to return to: Table of contents. https://data.gov.au/dataset/ds-dga-2515b21d-0dba-4810-afd4-ac8dd92e873e/detailshttps://data.gov.au/dataset/ds-dga-602f74a0-a588-4dea-ae28-0fe123cbb182/detailshttps://data.gov.au/dataset/ds-dga-324aa4f7-46bb-4d56-bc2d-772333a2317e/details?q=Student%20visahttps://data.gov.au/dataset/ds-dga-c957d829-4f9b-4213-a0c2-8cbeb9a03ffb/details?q=Temporary%20Graduatehttps://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3412.02017-18?OpenDocumenthttps://www.abs.gov.au/ausstats/abs@.nsf/mf/3101.0https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3105.0.65.0012016?OpenDocument Caveat 		Caveat 		This Australian Migration Statistics dataset provided by the Department of Home Affairs is for statistical and research purposes.  		In addition:  		• Any publications or reports using this data must cite the Department as the source.  		• The Department is not responsible for any analysis or transformation of the data by the requestor in any publications or reports;  		• The Department is entitled to include a statement stating “The views expressed in this report are those of the authors and do not necessarily     		represent those of the Department of Home Affairs” in such a published report.  		• To the extent permitted by law, the Commonwealth excludes all liability for loss or damage arising from the use of, or reliance on, 		the information contained in this workbook whether or not caused by any negligence on the part of the Commonwealth or its agents.  		Click here to return to the contents menu. 		© Commonwealth of Australia 2019 https://www.homeaffairs.gov.au/access-and-accountability/using-our-website/copyright-and-disclaimer 1.0 		Table 1.0: Australia's Migration Program outcome, 1984–85 to 2018–19 		Year	Skill stream	Family stream1	Child stream2	Special Eligibility	Total3 		1984–85	10,100	43,000	1,200	200	54,500 		1985–86	16,200	62,100	1,300	400	80,000 		1986–87	28,500	70,700	1,900	600	101,700 		1987–88	42,000	77,500	2,000	600	122,100 		1988–89	51,200	70,400	2,300	800	124,700 		1989–90	52,700	64,500	2,100	900	120,200 		1990–91	49,800	59,300	2,000	1,200	112,200 		1991–92	41,400	53,700	2,200	1,700	98,900 		1992–93	21,300	42,600	2,700	1,400	67,900 		1993–94	18,300	40,700	2,500	1,300	62,800 		1994–95	30,400	42,000	2,500	1,600	76,500 		1995–96	24,100	53,870	2,830	1,700	82,500 		1996–97	34,676	34,993	2,183	1,735	73,587 		1997–98	34,446	29,093	2,188	1,113	66,840 		1998–99	34,895	29,967	2,071	888	67,821 		1999–00	35,352	29,855	2,162	2,868	70,237 		2000–01	44,721	31,337	2,124	2,415	80,597 		2001–02	53,507	35,920	2,162	1,465	93,054 		2002–03	66,053	38,113	2,681	1,225	108,072 		2003–04	71,243	39,567	2,662	890	114,362 		2004–05	77,878	39,245	2,491	450	120,064 		2005–06	97,336	42,744	2,547	306	142,933 		2006–07	97,922	47,071	3,008	199	148,200 		2007–08	108,540	46,808	3,062	220	158,630 		2008–09	114,777	53,128	3,238	175	171,318 		2009–10	107,868	56,710	3,544	501	168,623 		2010–11	113,725	51,243	3,300	417	168,685 		2011–12	125,755	54,904	3,700	639	184,998 		2012–13	128,973	56,335	3,850	842	190,000 		2013–14	128,550	57,262	3,850	338	190,000 		2014–15	127,774	56,950	4,135	238	189,097 		2015–16	128,550	57,400	3,512	308	189,770 		2016–17	123,567	56,220	3,400	421	183,608 		2017–18	111,099	47,732	3,350	236	162,417 		2018–19	109,713	47,247	3,248	115	160,323 		Source: Various Population flows publications and annual reports–Migration Reporting, Department of Home Affairs 		1. Excludes Child visas for comparative purposes. 		2. From 2015–16, Child visa outcomes (excluding Orphan Relative visas) are no longer part of the managed Migration Program. 		3. Information from 1984–85 to 1994–95 is rounded and reflects changes in reporting. 		Note: Program outcomes do not include New Zealand citizens (before 2017–18) or selected Humanitarian visas such as Secondary Movement Offshore Entry (Temporary),  		Secondary Movement Relocation (Temporary) and Temporary Protection visas. Numbers are for net outcome, and provisional visa holders who do not  		subsequently obtain permanent visas due to refusal or withdrawal are returned to the Program. 		Click to return to contents 		Australian Migration Statistics—released November 2019 		© Commonwealth of Australia 2019 https://www.homeaffairs.gov.au/access-and-accountability/using-our-website/copyright-and-disclaimer 1.1 		Table 1.1: Migration Program outcome by category, 2009–10 to 2018–19 		Skill stream														Family stream and Child Program 				Employer Sponsored visas 				Points Tested Skilled Migration visas				Other Skill stream visas			Skill stream total		Family stream visa categories6			Child Program	Family and Child total	Special Eligibility	Total Migration and Child Program outcome 		Year	Employer Nomination Scheme	Labour Agreement1	Regional Sponsored Migration Scheme	Total	Skilled Independent	Skilled Regional2	State/Territory Nominated3	Total	Business Innovation and Investment4	Distinguished  Talent	1 November Onshore5	Total		Partner7	Parent	Other Family8	Total	Child9		Total 		2009–10	30,268	506	10,213	40,987	37,315	3,688	18,889	59,892	6,789	199

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ITECH 7407
REAL TIME ANALYTICS
Report Submitted by - 
TABLE OF CONTENTS:
1. PURPOSE
2. BACKGROUND & INFORMATION 
3. DATA MINING & RESEARCH
3.1 DATA MINING, DATA MODELLING & RESEARCH
4. RECOMMENDATION FOR CEO
5. COVER LETTER
6. REFERENCES
1.PURPOSE:
Business Analytics has proven itself as one of the pioneer & most emerging field in Industrialization 5.0. Be it a Product Industry or a Service Industry vertical, everything from needle to plane are considering Data analysis for making any short term or long term decision within the Organization. Many Industries has also adopted to with onto the Analytical platforms like SAP, ARIBA etc., where they can analyse the real time situation of the Organization. 
Business Analytics involves collecting the data of various operations involved like Customer behaviour, Demands, Supply Chain, Manufacturing, Sales, Payroll, Logistics etc. and analysing it in order to gain insights for better decision-making to improve overall Operational Efficiency.
Business Analytics has grown immensely over the past few years. It has empowered the firms operating in the various sectors to take better decisions that align with the business as well as the societal objectives. Additionally, they are using Business Analytics for promote their Products & Services to the right customers at right time & perfect manner. The use of data analytics helps management to improve operational cost, spend management in procurement, Supplier consolidation, etc. (Yanqing, 2020)
2.BACKGROUND INFORMATION:
Over the past few years, due to increased Civil war in different parts of the world, there observed a increasing trend if people migration in different parts of the world. Though migration is considered as a social issue but it also affects the economic, Political, Cultural & other factors in the Country to which the migration takes place (Krupinski)
There are two aspects of migration – 
1) Positive –where the line of thought is as follows –
The people migrating to other Countries are considered as a resource in the labour market, a huge customer base for the boost in economy & providing the new business opportunities.
2) Negative –where the line of thought is as follows –
The people migrating to other Countries are considered as a burden on the limited available resources & competing in the labour market for the available jobs. This might in turn can have detrimental consequences in the Country to which people migration is taking place. 
Migration takes place from every part of the world. Migration of people from one place to another in search of better opportunities, in order to lead a better and prosperous life is one of the main reason for migration. Though migration is a social factor, but it also affects the economic, political and cultural and other factors of the country to which migration of people is taking place, there are two types of factors due to which migration takes place. 
First is the Push factors-where the poverty, social stigma, less or no opportunities with low income prevailing in the hinterland areas pushes a person to migrate to the urban areas to find a way to escape from all the pathetic conditions prevailing in the hinterland areas. 
The second factor is a Pull factor-where the prosperous and better city life attract a person towards the urban areas. The prosperous city life acts as a pulling factor to attract the people to migrate to the urban areas.
Considering the Political, Economic, Cultural, Social & other factors associated with the migration, it becomes highly imperative to analyse the past trends of migration for a particular Country in order to take the necessary measures.
Here, we have considered the dataset of Australian Government (Department of Home Affairs) which was published in 2019 on public platform. This data provides Australian Migration Statistics from 1984 to 2018 in terms of Permanent & Temporary migration, migration to labour market, Non-compliance in issuance of Visas. Further the data is segregated into Category, Gender, Location, Skills, etc. 
3.DATA MINING & RESEARCH:
We have used SAP Predictive Analytics & R for our analysis. Both the tools are well advanced tools used for Business Planning, Business Intelligence, Reporting, Dashboard analysis, visualization etc.
3.1 DATA MODELLING & DATA MINING & RESEARCH:

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