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Dawgen Global Insights February 2020 Edition 100%

This issue of Dawgen Global Insights explores several management tools and strategies including Blockchain Technologies, Performance Measurement and Analytics.

https://www.pdf-archive.com/2020/02/29/dawgen-global-insights--february-2020-edition/

29/02/2020 www.pdf-archive.com

TNC website cookies info 99%

Website Cookies Cookie Name Owner PHPSESSID Essential/ Marketing/ Analytics Essential What the cookie does PHP Lifespan (session / persistant) session Intrusiveness ci_session CodeIgniter 1 hour Essential Similar to above - sets the session cookie so we can detect whether the user is new or a returning user.

https://www.pdf-archive.com/2017/09/05/tnc-website-cookies-info/

05/09/2017 www.pdf-archive.com

Unit Spec 99%

Learners Instructions PROGRAMME OCR LEVEL 3 CAMBRIDGE TECHNICAL CERTIFICATE/DIPLOMA IN IT UNIT/TITLE Unit 39 - Understanding The Business Analytic Process For Big Data LECTURER’S NAME Luke Fallis ASSIGNMENT No 1-3 TITLE DATE ISSUED 01/04/2017 “Business Analytics – Expanding The Market Space” HAND-IN DATE LEVEL 3 30/05/2017 LEARNER’S NAME STUDENT NUMBER       THERE IS A STRICT DEADLINE FOR THE ​HAND-IN DATE​ OF ASSIGNMENTS THE FINAL WORK PRESENTED BY THE LEARNER FOR ASSESSMENT MUST BE THEIR OWN WORK The tasks within the assessment suggest what form of presentation is appropriate.

https://www.pdf-archive.com/2017/05/18/unit-spec/

18/05/2017 www.pdf-archive.com

Job Description 98%

Aaron Industries, Inc. West Coast Division Job Title:

https://www.pdf-archive.com/2013/10/13/job-description/

13/10/2013 www.pdf-archive.com

Internship FALL Semester at Anheuser 98%

Internship FALL Semester at Anheuser-Busch InBev Bud Analytics Lab (Budweiser/Stella Artois/Corona/Shock Top/Goose Island) 1.

https://www.pdf-archive.com/2014/08/29/internship-fall-semester-at-anheuser/

29/08/2014 www.pdf-archive.com

CIUpdate 96%

Predictive analytics strategies at Interior Savings and Servus Predictive analytics strategies at Interior Savings and Servus Predictive analytics at Interior Savings Credit Union • The Servus data team is working on predictive models on crosssell and upsell that will assess product and service propensity and RRSP models that either identify which members are likely to purchase different types of registered products or predict the likelihood a member transferring out of their Servus RRSP.

https://www.pdf-archive.com/2018/02/15/ciupdate/

15/02/2018 www.pdf-archive.com

google-analytics-base 96%

Google Analytics statistiche per tutti come misuri il successo del tuo sito web?

https://www.pdf-archive.com/2016/11/05/google-analytics-base/

05/11/2016 www.pdf-archive.com

CV — Mikhail Tsvik 95%

Development, Data Science, Analytics, Management.

https://www.pdf-archive.com/2018/03/08/cv-mikhail-tsvik/

08/03/2018 www.pdf-archive.com

DMP-Power 95%

Data Management Platforms That Can Power 360° Analytics Does your DMP have the features to power 360° analytics?

https://www.pdf-archive.com/2015/03/31/dmp-power/

31/03/2015 www.pdf-archive.com

Hanwha-2016-Sales-Catalog-FINAL PDIa 95%

Night (ICR) • Intelligent Video Analytics SNF-8010/8010VM 5MP Box • 5MP @ 20fps, 1080p @ 30fps • Exceptional low light 0.01 Lux (1/20, 30IRE) • Simple Focus, P-Iris • Built-in Mic • Tampering, Audio Detection 5MP Bullet IR • 30fps@all resolutions • Concurrent H.265 &

https://www.pdf-archive.com/2016/06/15/hanwha-2016-sales-catalog-final-pdia/

15/06/2016 www.pdf-archive.com

CV — Mikhail Tsvik 95%

Development, Data Science, Analytics, Management.

https://www.pdf-archive.com/2018/03/07/cv-mikhail-tsvik/

07/03/2018 www.pdf-archive.com

CV — Mikhail Tsvik 94%

Development, Data Science, Analytics, Management.

https://www.pdf-archive.com/2017/10/25/cv-mikhail-tsvik/

25/10/2017 www.pdf-archive.com

final report on personal site assignment 94%

  Metrics   I  used  Google  Analytics  and  Weebly’s  built  in  metrics  tool  to  track  guest  activity  on  my  site.

https://www.pdf-archive.com/2013/05/02/final-report-on-personal-site-assignment/

02/05/2013 www.pdf-archive.com

3vr 93%

Compare demographic reports against POS transactions, understand foot traffic conversion, and empower your organization with valuable business intelligence using the latest addition to 3VR’s suite of Premium Analytics.

https://www.pdf-archive.com/2012/12/23/3vr/

23/12/2012 www.pdf-archive.com

Musshoff JAT Seitenzahl 92%

Journal of Analytical Toxicology, Vol.

https://www.pdf-archive.com/2014/11/14/musshoff-jat-seitenzahl/

14/11/2014 www.pdf-archive.com

CV, Misha Tsvik, 2020 91%

Business Analytics, A/B Testing, Tableau, Metabase.

https://www.pdf-archive.com/2020/05/07/cv-misha-tsvik-2020/

07/05/2020 www.pdf-archive.com

The Audience Tree 89%

THE AUDIENCE TREE A Data Management Platform (DMP) is a powerful audience management and analytics tool for marketers to gain a 360° view of who their MARKETING MEETS ANALYTICS customers are, what they look like, what they are planning to buy and how to reach more of them.

https://www.pdf-archive.com/2015/03/31/the-audience-tree/

31/03/2015 www.pdf-archive.com

P3 89%

Learning Objectives:     - Identify the benefits of business analytics to a business environment.  - Review the relationship between analytics, sector application and impact.   - Analysis of opportunities through big data review.   - Methodology review for business analytics.   Implementation  Learning Context  For Pass 3​ learners must identify the benefits of business analytics within the business  environment. The benefits can be discussed in two ways, either within a singular organisation or  a general overview across a business sector. The report should document as many benefits as  possible, learners can present these with mind maps that illustrate cross sector benefits.            1      Procedure - Pass 3   Learners should focus on a specific business, suggestively the college, and identify the benefits  of business analytics within the business environment. Learners are to begin identifying the  benefits of business analytics, commenting on how they are defined and met. They can then  begin to review the sector usage, and how the current implementation is able to deliver to its  users.  To conclude, learners can identify business impact and further clarify the way in which  utilized big data can aid in benefiting a business. Learners are also required to produce ​two​ mind  maps covering the content discussed in the report.     Use Of Analytics   Business Intelligence  Business intelligence (BI)  is the ‘umbrella’ term used to process and analyze raw “Big Data” for  business intent. As mentioned, the inclusion of analytics shows demonstrates how companies  indirectly accumulate data that can be further utilized to increase the quality, and in some cases  efficiency, of their business. For this section, learners should discuss the difference between a  business with BI and one without.   Link:​ ​goo.gl/7KDdRN   Link: ​goo.gl/cxcl31     Forecasting  Forecasting is a task that all businesses must carry out to ensure their survival in today's  competitive market. Big Data has influenced this in recent years, namely by providing a new  means of prediction with increase accuracy and validity. Previously, businesses would not have  the ability to make ‘as’ accurate predictions on consumer trends, however due to the precise  nature of big data this is now achievable. For this section, learners should discuss the difference  between both methods of forecasting (With and without the use of big data) and identify the traits  from big data that help benefit businesses.   Link: ​goo.gl/KVGhvW   Link: ​goo.gl/YIsH0n      2      Linear, Integer and Constraint Programming    Linear Programming​ - Is the process of reviewing the amount of tasks / objectives and  identifying the complex relationship(s) between each tasks. You can them highlight the optimal  process and increase your efficiency and productivity.   Integer Programming​ - In the case that the scenario is more complex, and linear programming is  not strong enough, integer programming is used. An example of this instance is vehicle routing,  to which there are constant fluctuation amongst the variables that it remains difficult to predict,  hence the need for more control.   Constraint Programming​ ​- Is the name awarded to the process of analysing a large data set and  sorting them in order to achieve the highest satisfaction rate. An example is the college  timetables, as they are in constant fluctuation, a system can govern this allocating rooms with the  correct size and resources whilst being on the correct campus.   For this section learners should comment on how adding these methods above to a business  would bring benefit. Starting with the notion that the data being analysed is subject to sorting  based on predetermined rules with the end goal being increased efficiency.   Link: ​goo.gl/LFYQQO  Link: ​goo.gl/0jV5OW  Link: ​goo.gl/neC1hA     Problem Solving  Changes that occur within the industry can have incredible impact on businesses as the market is  in a constant state of flux, however, there are some problems that require attention before they  can be remedied. In the case of a demographic issue, resulting in a large percentage of your  consumers no longer enjoying your product, how can you deal with this accordingly? Well, the  first thing is to review what you know to be true, the data. For this section learners should discuss  how archived data, namely from the consumer demographic, can aid in locating points of origin  for present business issues.   Link: ​goo.gl/uxM81A       3      Identification Of Patterns   The purpose of pattern identification is to recognise anomalies and correlation within data sets.  Companies can archive all the big data they need, however, the data remains useless unless it  can be verified, validated and comprehended. Patterns provide rules to which define the  construct of relationships between data, across the subject set. Learners should begin by  explaining the problem space and how that can damage a business if left unacknowledged. They  should then focus on how these different methods can aid a business by providing clarity and  giving their data sets validity.   Link: ​goo.gl/sj4lME       Use Of Analytics   IBM Smarter Commerce   Smarter commerce is the process of better management of all tasks to improve customer value,  brand loyalty and consumer satisfaction. The use of IBM’s service demonstrates how companies  can better manage the explosion of available data, to date, and therefore achieve higher  standards. Analysing all the available data can be difficult, however with the use of advanced  systems and solutions provides an autonomous equivalent that saves time, effort and minimizes  error / risk space. Learners should discuss how this could benefit a business with an influx on  available data, showcasing the service and all that it offers.   Link: ​goo.gl/l3hKIX     IBM Smarter Care   Smarter care is the thought that health is relative to a number of different variables, and although  we cannot always account for this, artificial intelligence can. IBM Watson aims to take a holistic  approach to the data set(s) and uncover insights into possible detriments to health. Overall, their  goal is to improve individual outcomes, lower deliverance costs and drive wellness within a  community. Learners should explain why Watson should be considered in aiding the fight  towards improved individual recognition, followed with an review of all claimed benefits that are  to be provided.   Link: ​goo.gl/urS670   4      Siting Of Wind Farms   As the world is moving towards a collective goal of becoming “greener” before decisions that  impact society greatly can be considered, the research and data must be present. Big data is  already used in methods of environmental conservation, however, it is now being used towards  the generation of clean energy. As we are collecting more reliable data regarding the wind  patterns and behaviour on our planet, we are able to design more efficient and reliable turbines  for energy generation. Learners must explain the correlation between increased environmental  data sets and their impact on wind power. Following the link, they are able to comprehend the  impact of wind farms and their consideration for futuristic technology.   Link: ​goo.gl/gevIoR     Cancer Research  We live in a world in which we are working together to improve the global health situation, sadly  there are still certain health complications that are still present within society. Cancer is one of the  biggest health detriments to date, and due to this high statistics, it has been considered to be  applied to big data techniques. Managed archives of cancer mutations, diagnostic practises and  patient samples will drastically increase the way we approach treatment options. It also provides  a means of collaboration regarding experimental treatments for people with more complex  diagnosis. Learners should discuss the impact to cancer research big data could have, covering  the range of benefits that present.   Link: ​goo.gl/2xiGDM     Business Impact   Production Planning  Businesses that provide products to consumers often acquire the raw materials needed for  production, and manage the complete process. However, as the laws and regulations on these  raw materials fluctuate and the manufacturing methods change, how can businesses stay on top?  Well, they review each aspect of how they operate, reviewing it based on predetermined criteria  and then assessing it in a linear modular approach.  Learners should highlight the importance of  production planning and accounting for each step of the process. Please see the link below.   Link: ​goo.gl/5v5MJv   5 

https://www.pdf-archive.com/2017/05/18/p3/

18/05/2017 www.pdf-archive.com

Michael Spector - CV 89%

Tech​ ​Lead,​ ​Data Appsflyer 07/2015​ ​-​ ​05/2017 Staff​ ​Engineer,​ ​Analytics Ruckus​ ​Wireless 09/2013​ ​-​ ​07/2015 Software​ ​Architect Colabo 12/2009​ ​-​ ​09/2013 Software​ ​Architect Zend​ ​Technologies 01/2007​ ​-​ ​12/2009 Appsflyer​ ​is​ ​a​ ​market​ ​leader​ ​in​ ​mobile​ ​ad​ ​attribution​ ​and​ ​analytics.​ ​Here,​ ​I​ ​work​ ​on​ ​many​ ​projects​ ​around building​ ​and​ ​improving​ ​cost-effective​ ​data​ ​infrastructure,​ ​including​ ​the​ ​following,​ ​among​ ​others:

https://www.pdf-archive.com/2017/10/01/michael-spector-cv/

01/10/2017 www.pdf-archive.com