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This issue of Dawgen Global Insights explores several management tools and strategies including Blockchain Technologies, Performance Measurement and Analytics.
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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.
Internship FALL Semester at Anheuser-Busch InBev Bud Analytics Lab (Budweiser/Stella Artois/Corona/Shock Top/Goose Island) 1.
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.
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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.
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
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: