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Best Free Data Analytics Powerpoint Templates

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Data Analytics

Transcript: Bloggers Drafts Doesn't tell the whole story Threats Over look other valuable players Opportunities You can tell when teams don't use it General Managers Data Analytics in Baseball Who is using it Hit + Walk + HBP / (AB + Walk + HBP + SF) = On-base (OBP) Hits / At Bats = Batting Avg. Writers Hitters How is it being used? YEARS!!!! In Jan 2012 Cubs partner with Bloomberg Sports Advantages Advanced Stats Conclusion Trades Signings by Blake McMullan Agents Pitchers Scouts Small Markets and Big Markets use it Coaches Go after the same player Baseball is more than BA 105

Which is best: Keynote, SlideRocket, Prezi, or PowerPoint?

Transcript: Cloud-based Professional Templates PowerPoint Compatible Import media Available for Mac and Windows Different options Online and Offline access Import PowerPoint or Google presentations Real time data Online Security Measure effectiveness We will cover: PowerPoint Characteristics Prezi Characteristics Keynote Characteristics SlideRocket Characteristics Clearside Conclusion Recently acquired SlideRocket Company that helps sales leaders achieve higher productivity by proving real time visibility and analytics to improve customer interaction Keynote Free- Prezis are public and limited storage $4- Private prezis and 500 MB of storage $14- Private prezis and 2GB of storage Available for Mac Apple designed Themes iCloud based Creative tools PowerPoint compatible Clearside Valeria Oropeza Available in iTunes for $9.99 Varied Themes Presenter View Share over the web Improved video and audio supports PowerPoint on touch devices Conclusion Which is Best: PowerPoint, Keynote, Prezi or SlideRocket PowerPoint 2013 Prezi SlideRocket

PowerPoint Game Templates

Transcript: Example of a Jeopardy Template By: Laken Feeser and Rachel Chapman When creating without a template... http://www.edtechnetwork.com/powerpoint.html https://www.thebalance.com/free-family-feud-powerpoint-templates-1358184 Example of a Deal or No Deal Template PowerPoint Game Templates There are free templates for games such as jeopardy, wheel of fortune, and cash cab that can be downloaded online. However, some templates may cost more money depending on the complexity of the game. Classroom Games that Make Test Review and Memorization Fun! (n.d.). Retrieved February 17, 2017, from http://people.uncw.edu/ertzbergerj/msgames.htm Fisher, S. (n.d.). Customize a PowerPoint Game for Your Class with These Free Templates. Retrieved February 17, 2017, from https://www.thebalance.com/free-powerpoint-games-for-teachers-1358169 1. Users will begin with a lot of slides all with the same basic graphic design. 2. The, decide and create a series of questions that are to be asked during the game. 3. By hyper linking certain answers to different slides, the game jumps from slide to slide while playing the game. 4. This kind of setup is normally seen as a simple quiz show game. Example of a Wheel of Fortune Template https://www.teacherspayteachers.com/Product/Wheel-of-Riches-PowerPoint-Template-Plays-Just-Like-Wheel-of-Fortune-383606 Games can be made in order to make a fun and easy way to learn. Popular game templates include: Family Feud Millionaire Jeopardy and other quiz shows. http://www.free-power-point-templates.com/deal-powerpoint-template/ Quick video on template "Millionaire" PowerPoint Games Some games are easier to make compared to others If users are unsure whether or not downloading certain templates is safe, you can actually make your own game by just simply using PowerPoint. add logo here References Example of a Family Feud Template PowerPoint Games are a great way to introduce new concepts and ideas You can create a fun, competitive atmosphere with the use of different templates You can change and rearrange information to correlate with the topic or idea being discussed. Great with students, workers, family, etc. For example: With games like Jeopardy and Family Feud, players can pick practically any answers. The person who is running the game will have to have all of the answers in order to determine if players are correct or not. However, with a game like Who Wants to be a Millionaire, the players only have a choice between answers, A, B, C, or D. Therefore, when the player decides their answer, the person running the game clicks it, and the game will tell them whether they are right or wrong.

Data analytics

Transcript: Data Analytics Analyse your future what is analysis? what is analysis? Analysing the weather. Analysing on how to pass exams! It is in your blood! It is in your blood! How does it work? How does it work? Power of Analysis decision making Improved productivity improving customer experience Power of Analysis ANALYSIS TYPES ANALYSIS TYPES Descriptive Diagnostic Predictive Pescriptive Descriptive Diagnostic Predictive Pescriptive TOOLS TOOLS

Data Analytics

Transcript: Advanced Demographic Analysis Changing the Game - Moving Towards Customer Centricity Align products based on individual and employer profile How do we capitalize on the other 74%? It seems simple... Examine the employee population as a whole using their characteristics as a factor in determining product offerings. Combining all categories in conjunction with profiling creates enhanced segmentation GOAL! Employer's Benefit Offering Engage and enroll employees through relevance Universal Life LTC Hospital Indemnity CI Individual Industry Household Data Analytics Increased Engagement & Satisfaction Increased Persistency Higher Revenue LTC Dental What will happen? Understand what drives individual employees to purchase insurance products Basic Demographic Analysis Educate, communicate & enroll Know which products to highlight to each employee Communicate to employees based on what matters to them Block Group Income Zip Code Level Credit Behavior Predictive Analytics Employer Profile Analysis Employer Profile Through Enhanced Data Analysis Select products and develop enrollment plan Step 4 Offered by Transamerica Employee Benefits 76% of employees were satisfied with the benefit choices offered by their employer Realigned (new) products STD New Products Focus on the individual employee Hospital Indemnity Descriptive Analytics Game Plan Price is the primary driver ONLY 26% of the time Results Create Custom Messaging and Enrollment through Employee Segmentation Step 2 Utilize the right media and enrollment process for each employee Voluntary Benefits Advanced Data Analysis UL LTC HI CI Term Life Create Target Messaging & Enrollment for Employee Segments 54% of Employers focused only on demographics when evaluating voluntary benefits Only 50% of employees agree, "I am satisfied with the benefits I receive through my employer" EE Segmentation How does this change my benefit strategy? Initially proposed products Whole Life STD CI An advanced analytical approach through: Employer Profile Analysis Employee Segmentation Predictive Modeling Almost 70% of Money Maximizers don’t have children. Photos of families or language about protecting the future of their children does not resonate. They also prefer one-on-one counseling sessions Neighborhood Predictive Modeling Self Service Enrollment Vision Predictive Modeling Thank you! Domenic M Salvato Vice President, National Accounts 610 757 8179 domenic.salvato@transamerica.com Single Dimension Category "To deliver better benefit programs, employers need to start broadly and understand metric and data needs", advises Walmart's VP of US Benefits Products that align with primary segments Think Different Telemed Gender Prescriptive Analytics Realigning products based on key employee segments Step 1 How to Get to the Summit Closer to the consumer Determine Appropriate Products through Predictive Modeling Salary Universal Life 15% vs 33% LTC 8% vs 21% Hospital Indemnity 10% vs 24% Critical Illness 18% vs 32% How do we make it happen? New Way of Thinking Critical Illness Employee Segmentation Cancer Location Accident What happened? Step 3 Age Group Generation Gender Expected vs Actual Participation Why did it happen? Permanent Life Household Income Number of Children Net Worth Home Ownership Tenure What if we could change the employee benefits landscape by... Create target messaging Diagnostic Analytics Review Employer's Benefit Strategy

Data Analytics

Transcript: - Midwest needs changes to their customer facing and portal account summary documents - Late fee automation – work was deferred from last summer Regions Affected: Primarily Midwest, but all could benefit from Late Fee Automation Current Estimate: TBD – more analysis needed Status: - 8 items identified with more requirements forthcoming from Sales organization - Five tickets submitted – some of which were formatting issue that were deferred until the rework of customer facing documents Training Needs Data, Programmed Reports and Interface “Easy to read, often single page, real-time user interface, showing a graphical representation of the current status (snapshot) and historical trends of an organization’s key performance indicators to enable instantaneous and informed decisions to be made at a glance." [Wikipedia] - Data is inconsistently defined and exists in many places - Review of count purposes and accuracy is needed to streamline sales, operations and accounting processes Regions Affected: All Current Estimate: TBA – analysis needed Status: - No Items have been identified - No Tickets or SORs created Progress to Date Are we developing one system? Dev Tickets- (57) 25 in dev pipeline 10 with BA’s for specs 22 inadequate SOR Treatment Regions Affected: Midwest and Toronto Current Estimate: TBD – more analysis needed Status: - (1) ticket created and currently being worked - No other tickets or SORs submitted Best in class system (?) Improve processes Additional functionality Accurate, relavant, timely data Reliable system, easily maintained, quick response Flexible, brand independence Supports Portal. Websites, DW Business Analytics, BI & Dashboards Tools Data clean up and corrections Remove old data (e.g. old data migrations) Correct existing data (duplicates, incorrect defaults) Auto-populate new data (e.g. accounts, opportunities) Programmed reports Customer facing Internal Interface Change screens (e.g. hide fields) Detailed requirements definition IT resources / other projects Current state of system / code and versioning management Communication / logistics / prioritization Funding Development needed for Optional Items Prices Tab on Quote Entity has a few small items need to be fixed Full review is needed - Regions Affected: All - Current Estimate: 25 man days - Status: (4) items have been identified (1) ticket has been submitted and currently in development Three other items have no tickets submitted or SORs Expenditure IT/Maslow Update Discussion - Each year each department in the businesses request training Regions Affected: ALL Current Estimate: TBD – more analysis needed Status: Currently gathering training requirements from businesses Fixing System Issues New development > 2 days Bugs and new dev <2 days Changes to docs and reports Data population and clean up Passenger Count Streamlining Some functionality exists, but more needed Will address TO Insurance Options, Midwest RGP Allocation and Gaps for Montreal - Regions Affected: All - Current Estimate: 25 man days - Status: (3) Items have been identified (1) ticket created with specification document attached (ticket will cover 2 items) (1) item with no ticket or SOR Recommendation would be to review with businesses to ensure all requirements are identified before development works begins Montreal Gaps Identified, no specs Data Warehouse High speed and data volume Trend analysis Integrate data sources Presentation and reporting tools Relatively Expensive Lot of up front work 1. Simple: integrated Excel ‘Powerpivots’ with standard analytic functions other software with ‘souped-up’ interfaces, leveraging Excel 2. More complex: sophisticated databases designed for data analytic needs, with customized reports and interfaces Tour Director Functionality Each location has own database, with small differences. They could be brought together, though no need if we set up data warehousing. They share same QDM, VTM and CRM code and presentation layer There are different instances of GP accounting because of different base currencies. No way around this. So there are two sets of GP integration code as well. Top 10 list Consolidate education business's multiple technology platforms into a customized MS reservation system. - Operations processes for each business have changed over the years - Review and analysis needed to streamline operations functionality including bookings and OUT/VTM Regions Affected: All Current Estimate: TBA – analysis needed Status: - (1) item identified – no ticket or adequate SOR - Recommendation would be to meet with businesses to review processes and gather requirements System Structure Data extraction and analysis tools/structure (All are cheaper than developing reports using code) TOP 10 ITEMS Brightspark USA and Canada On version 2.0 with Integrated Portal Many performance/stability problems rectified limited data analytics, poor strategic reporting Jumpstreet On version 1.0, Stand alone portal Gap analysis complete, plan to go

DATA ANALYTICS

Transcript: Main source of revenue Harrah’s will keep adding excitement and benefiting its scope across gaming-related activities. Cash instead of non-monetary gifts. At Nevada, In 2002, the local market's gaming revenues increased by just 1%. Whereas, Harrah’s Laughlin recorded a 14% gain in revenues. Why? Challenging economy failed to affect Harrah's. Why? intense anticipation and excitement of gambling itself. Understanding and Targetting customers Two key elements. First, it uses database marketing and decision-science-based analytical tools rather than intuition. Second, it uses this insight, together with marketing experiments, to develop and implement service-delivery strategies that are finely tuned to customer needs. DATA ANALYTICS HARRAH'S Harrah's Revolutionized the casino industry using data analytics Data analytics allowed Harrah to maximize their profits through analyzing the market and understanding their needs. Not differentiated Did not motivate customers Not lucrative at the outset In 1997, it implemented a loyalty program called "Total Gold" Big data and data analytics are used to better understand customers and their behaviors and preferences. The Final objective, in many cases, is to create predictive models CRM A Competitive advantage Implementation DATA ANALYTICS What Harrah's found out The company implemented a bonus plan to reward hourly workers with extra cash for achieving improved customer satisfaction scores Harrah's decided to consolidate its strategy around these choice customers and focus on branding, marketing It developed quantitative models to predict lifetime value It made a point of treating millions of regular customers differently depending on their value to the company. An absolute focus on customer satisfaction. Harrah's customers spent only 36 percent of their gaming dollars with the company. In 2002, the company paid $14.2 million in bonuses to non management employees based on their properties’ customer satisfaction scores. Since the program’s inception, Harrah’s has paid out more than $43 million in bonuses. Thank you for your time. its been a pleasure. Trust us we are engineers if you need more information about gambling, contact us! Caesars Entertainment Corporation (formerly Harrah's Entertainment from 1995 to 2010) American public gaming corporation that owns and operates over 50 casinos and hotels, and seven golf courses under several brands Annual revenues of $8.6 billion (2013) TEJAS ZAHRAN Content Asset Intellectual property rights CRM Managing infrastrucure cost Real-time revenue management 'Total Gold' player point based system, where they split the customers into three tiers: Gold, Platinum, and Diamond cardholders, based on their annual theoretical value. Every experience in the casino was redesigned to drive customers to want to earn a higher-level card. DATA ANALYTICS 26% of customers produced 82% of the revenues. Best customers were not the "high-rollers" but slot-playing middle-aged folks or retired teachers, bankers, and doctors with time and discretionary income. Most of the revenues come from slot players AHMAD MEdia AND ENTERTAINMENT Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Casinos "Offering exclusive entertainment" J However, customer data derived from the program began the process of building the company's data mine.

Data Analytics

Transcript: Fan engagement / open source Conclusion value adding increasing significance more adopters lead to better cost-benefit results needs careful deployment Team performance vs. Individual Performance Psychologist: Mental stability Stress-resistance Collaboration / attitude Performance Management Coaching staff Players Analysts Scouts Health Management Physiotherapists Psychologists Physicians 1. Why Warehouse Management - Difference between Inventory Management vs. Warehouse Management - How it is linked with other modules (Procurement, Production, Fulfillment, Financial Accounting) 2. How does warehouse management work in ERP? - What data is required? - What are the individual steps in warehouse management? 3. Cost/Benefit analysis of WA Furniture - ERP vs. MRP + proprietary software - Future Recent development of data analytics in sport. Who are the users? What are the objectives? What technology is used and how? Do data analytics positively impact sport organizations? Relevant Question What data is nice to have? What is value adding? Cost-benefit analysis? Individual: Strengths & weaknesses Tactical understanding Skills & techniques Mental & physical fitness Opponents: Predictive analysis (e.g. penalty, specific moves) Video based - Health Management Recent development 3D Kinematics help evaluating posture and movement of athletes, supporting the design of preventive measures. Outline Team performance Performance assessment Tactical understanding Predictive analysis Team composition Player condition Individual performance Performance assessment Skills & techniques Physical condition Mental fitness Tactical understanding Challenges Impact Analytics used in: Australian Football Cricket Baseball Soccer (Ice) hockey Rugby Basketball American Football ... Andreas Middelmann 21792708 Sensor + video based: increased data quality accuracy reliability timeliness availability variety Video based Content Figure 2: Brand et al. (2015) Herakles Architecture Physiotherapist / Physician Injury Prevention (risk -> specific exercises, e.g. posture) Injury detection Injury treatment Rehabilitation monitoring Thank You! Movement patterns Video based Sensor based Biophysical / Biochemical parameters Information Technology, Data Analytics and Sport Integrated Analysis Own team: Strengths & weaknesses Tactics Team composition & interchanges (real-time) Player condition Opponents: Predictive analysis Strengths & weaknesses Technologies used: GPS differential non-differential RFID WiFI Technologies Blood glucose Haemoglobin pH Lactate Creatine kinase (Exhaling) air composition Examples Biophysical / Biochemical parameters Sensor based How the system works Objectives: Performance Management Tags / chips are placed at: players referees ball Health Improve injury prevention Shorten rehabilitation process Improve physical / mental health Figure 5: Schlipsing et al. (2014) System setup Objectives: Health Management Who are the users? Execution: With increasing data volume, variety, velocity: Qualitative / quantitative measures None stat all stars Context Benefits Example Analytics are: historic real-time predictive How the system works Motion pattern + biophysicals: accurate presentation of real condition increased long-term value combine performance and health management (injury prevention) Conditioning / coaching staff: Physical stress during game and practise Physical condition / health of player Adoption: Cost of technology (limited size of sport organizations) Implementation Operation & maintenance Updates Functionality of technology Automation vs. manual effort User acceptance (e.g. with experienced coaches) User expertise

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