Business analytics is widely used in sports marketing to help organizations make data-driven decisions. It allows teams to segment fans, estimate customer lifetime values, predict fan retention, and measure marketing performance. Analytics also helps evaluate the effectiveness of marketing strategies and enables value-based customer segmentation. The years 2014-2016 saw the highest growth in the use of business analytics for sports marketing.
Techaisle mid market big data adoption mindset (reasons for deploying Big Dat...Techaisle
Survey of mid-market businesses on Big Data adoption. Slide shows one of the important reasons deploying Big Data projects - Understanding Customers. For more details: www.techaisle.com
In this cutting-edge webinar, we will showcase the latest tools in Account Based Marketing (ABM). In this webinar, we discussed:
• Automated Account Views
• Account Profiles & Activity Roll-up
• Target Account Groups
• Account Scoring
• Nurture the entire account buying team
• Differences between two major MA platforms
CMOs live in one of two worlds: possessing the ability to prove the long-term, quantitative impact of marketing, or lacking the visibility and control to make confident marketing decisions. When proof of marketing’s successful performance and contribution to the business is undisputed, it is because the CMO runs marketing as a profit and loss center. Furthermore, marketing defines its performance by comparing results to a set of CEO-relevant objectives. For top performing marketing departments, There is little gray area; it’s always clear how marketing is performing. Thanks to this clarity, marketing enjoys ample resources as the business case for investing in it is easy to make, and when the pressure to grow revenue increases - marketing’s value only grows.
It’s a different story for CMOs that are unable to quantify the impact of marketing. When this is the case, marketing is viewed as an expense, and determining marketing’s impact is a popularity contest. Marketing’s existence in this environment is regularly in peril, subject to the whims of the C-suite’s opinion du jour and all the while marketing rides a funding rollercoaster. At the first sign of corporate economic distress, rather than turn to marketing to engineer a rescue, marketing is often at the front of the line for the budget-cutting axe.
Techaisle mid market big data adoption mindset (reasons for deploying Big Dat...Techaisle
Survey of mid-market businesses on Big Data adoption. Slide shows one of the important reasons deploying Big Data projects - Understanding Customers. For more details: www.techaisle.com
In this cutting-edge webinar, we will showcase the latest tools in Account Based Marketing (ABM). In this webinar, we discussed:
• Automated Account Views
• Account Profiles & Activity Roll-up
• Target Account Groups
• Account Scoring
• Nurture the entire account buying team
• Differences between two major MA platforms
CMOs live in one of two worlds: possessing the ability to prove the long-term, quantitative impact of marketing, or lacking the visibility and control to make confident marketing decisions. When proof of marketing’s successful performance and contribution to the business is undisputed, it is because the CMO runs marketing as a profit and loss center. Furthermore, marketing defines its performance by comparing results to a set of CEO-relevant objectives. For top performing marketing departments, There is little gray area; it’s always clear how marketing is performing. Thanks to this clarity, marketing enjoys ample resources as the business case for investing in it is easy to make, and when the pressure to grow revenue increases - marketing’s value only grows.
It’s a different story for CMOs that are unable to quantify the impact of marketing. When this is the case, marketing is viewed as an expense, and determining marketing’s impact is a popularity contest. Marketing’s existence in this environment is regularly in peril, subject to the whims of the C-suite’s opinion du jour and all the while marketing rides a funding rollercoaster. At the first sign of corporate economic distress, rather than turn to marketing to engineer a rescue, marketing is often at the front of the line for the budget-cutting axe.
Acquired Data Benchmark Report Resource Overview Dun & Bradstreet sponsored ...Demand Metric
Two broad approaches exist to improve data quality, accuracy and completeness: an in-house data hygiene process, and using external data or services. In a study sponsored by Dun & Bradstreet, Demand Metric studied both approaches, looking closely at the use of acquired data in sales and marketing applications/solutions.
The goal of the study was to learn how companies are using acquired data and how that data is making a difference in campaigns, demand generation and other key results. This report details the findings of this study, providing benchmarks for acquired data performance and making the case for its use.
[Infographic] Watch, Listen, Learn: Winning in the age of the informed buyerTechTarget
95% of buyers choose vendors that help them navigate their buying process. 3rd-party behavioral data allows vendors to do just that. This infographic shows how purchase intent data—which reveals active buyers and their pain points—allows marketers to boost sales productivity with relevant content and the hooks to drive meaningful conversations and win deals.
How to moneyball marketing and marketing researchJoel Rubinson
For more on this topic see: http://blog.joelrubinson.net/2014/04/if-we-can-moneyball-baseball-why-not-marketing-and-marketing-research/
Moneyball is the search for objective truth in baseball based on objective statistical analysis. If we apply this principle to marketing and research, it will greatly improve current practices.
Measuring And Monitoring Activities on Social MediaPepovski Darko
Key points in this presentation:
- Metrics
- On site
- Off site
- Software
- How best to ensure accountability in SM
- SOCIAL MEDIA RISK MANAGEMENT PRACTICES
- Goal Setting
- Takeaway Tips
Guide to Data Analytics for Marketing.pdfAndrea Powell
Data analytics has become an essential tool for businesses in recent years, and marketing is no exception. With the rise of digital marketing, there is an abundance of data available to marketers, and the ability to analyze this data can provide valuable insights into consumer behavior, preferences, and trends. In this comprehensive guide, we will explore the world of data analytics for marketing, including what it is, why it is important, and how to use it effectively.
Guide to Data Analytics for Marketing.pptxAndrea Powell
Unlock the power of data analytics in marketing with our comprehensive guide. Dive into essential techniques and tools, exploring how data-driven insights can revolutionize your marketing strategy. From deciphering consumer behavior to optimizing campaigns, this guide provides practical tips and real-world examples. Whether you're a novice or a seasoned marketer, discover how to leverage data analytics for targeted, impactful, and measurable marketing efforts. Elevate your marketing game with actionable insights and stay ahead in the dynamic landscape of data-driven decision-making.
* Identifying Trends And Patterns
Data analytics allows businesses to identify trends and patterns in consumer behavior, enabling them to tailor their social media strategies accordingly. Business can examine metrics like engagement rates, shares, and comments, businesses can understand what content their audience prefers. Recognizing these patterns allows businesses to tailor their content, aligning it with audience preferences.
* Targeting And Personalization
Businesses can target their audience more effectively by understand and leveraging insights into their audience demographics, interests, and online behavior. This information can be used to create personalized content that speaks directly to the needs and interests of the target audience, increasing engagement and conversions.
* Measuring ROI
Measuring ROI is crucial in assessing the success of social media campaigns. Vast Analytics aids businesses by tracking KPIs like conversion rates, cost per acquisition, and customer lifetime value. Conversion rates reflect the effectiveness of a campaign in prompting desired user actions. Cost per acquisition provides insight into the profitability of the investment, while customer lifetime value helps in strategizing for long-term growth.
* Competitor Analysis
Competitor analysis is a critical aspect of business strategy. It involves monitoring competitors and gaining insights into their social media strategies, strengths, and weaknesses. This process allows businesses to understand their competitors’ tactics, their successful campaigns, and areas where they may be lacking.
* Continuous Monitoring And Optimization
Businesses must continuously monitor their social media performance and optimize their strategies based on the insights and data. This involves tracking KPIs, analyzing trends, and making data-driven decisions to improve engagement, conversions, and ROI.
* Collaboration Between Teams
Collaboration between teams is key to fully leverage data analytics. It shouldn’t be limited to the marketing team. To maximize the benefits of data-driven decision-making, businesses need to foster a culture where departments collaborate.
Sharing insights and working towards common goals allows for a more comprehensive understanding of data.
To Know more read our blog: https://ultimateseohelp.com/the-role-of-data-analytics-in-social-media-marketing/
Marketing Analytics Importance : Types Of Marketing AnalyticsCiente
Stay ahead in the competitive business world with marketing analytics - enhance decision-making, seize opportunities, and achieve heightened success through data-driven strategies.
Presentation made for a lecture that I gave at ITM Mumbai. Marketing Research was an elective subject for the students and this is an overview of the subject
Acquired Data Benchmark Report Resource Overview Dun & Bradstreet sponsored ...Demand Metric
Two broad approaches exist to improve data quality, accuracy and completeness: an in-house data hygiene process, and using external data or services. In a study sponsored by Dun & Bradstreet, Demand Metric studied both approaches, looking closely at the use of acquired data in sales and marketing applications/solutions.
The goal of the study was to learn how companies are using acquired data and how that data is making a difference in campaigns, demand generation and other key results. This report details the findings of this study, providing benchmarks for acquired data performance and making the case for its use.
[Infographic] Watch, Listen, Learn: Winning in the age of the informed buyerTechTarget
95% of buyers choose vendors that help them navigate their buying process. 3rd-party behavioral data allows vendors to do just that. This infographic shows how purchase intent data—which reveals active buyers and their pain points—allows marketers to boost sales productivity with relevant content and the hooks to drive meaningful conversations and win deals.
How to moneyball marketing and marketing researchJoel Rubinson
For more on this topic see: http://blog.joelrubinson.net/2014/04/if-we-can-moneyball-baseball-why-not-marketing-and-marketing-research/
Moneyball is the search for objective truth in baseball based on objective statistical analysis. If we apply this principle to marketing and research, it will greatly improve current practices.
Measuring And Monitoring Activities on Social MediaPepovski Darko
Key points in this presentation:
- Metrics
- On site
- Off site
- Software
- How best to ensure accountability in SM
- SOCIAL MEDIA RISK MANAGEMENT PRACTICES
- Goal Setting
- Takeaway Tips
Guide to Data Analytics for Marketing.pdfAndrea Powell
Data analytics has become an essential tool for businesses in recent years, and marketing is no exception. With the rise of digital marketing, there is an abundance of data available to marketers, and the ability to analyze this data can provide valuable insights into consumer behavior, preferences, and trends. In this comprehensive guide, we will explore the world of data analytics for marketing, including what it is, why it is important, and how to use it effectively.
Guide to Data Analytics for Marketing.pptxAndrea Powell
Unlock the power of data analytics in marketing with our comprehensive guide. Dive into essential techniques and tools, exploring how data-driven insights can revolutionize your marketing strategy. From deciphering consumer behavior to optimizing campaigns, this guide provides practical tips and real-world examples. Whether you're a novice or a seasoned marketer, discover how to leverage data analytics for targeted, impactful, and measurable marketing efforts. Elevate your marketing game with actionable insights and stay ahead in the dynamic landscape of data-driven decision-making.
* Identifying Trends And Patterns
Data analytics allows businesses to identify trends and patterns in consumer behavior, enabling them to tailor their social media strategies accordingly. Business can examine metrics like engagement rates, shares, and comments, businesses can understand what content their audience prefers. Recognizing these patterns allows businesses to tailor their content, aligning it with audience preferences.
* Targeting And Personalization
Businesses can target their audience more effectively by understand and leveraging insights into their audience demographics, interests, and online behavior. This information can be used to create personalized content that speaks directly to the needs and interests of the target audience, increasing engagement and conversions.
* Measuring ROI
Measuring ROI is crucial in assessing the success of social media campaigns. Vast Analytics aids businesses by tracking KPIs like conversion rates, cost per acquisition, and customer lifetime value. Conversion rates reflect the effectiveness of a campaign in prompting desired user actions. Cost per acquisition provides insight into the profitability of the investment, while customer lifetime value helps in strategizing for long-term growth.
* Competitor Analysis
Competitor analysis is a critical aspect of business strategy. It involves monitoring competitors and gaining insights into their social media strategies, strengths, and weaknesses. This process allows businesses to understand their competitors’ tactics, their successful campaigns, and areas where they may be lacking.
* Continuous Monitoring And Optimization
Businesses must continuously monitor their social media performance and optimize their strategies based on the insights and data. This involves tracking KPIs, analyzing trends, and making data-driven decisions to improve engagement, conversions, and ROI.
* Collaboration Between Teams
Collaboration between teams is key to fully leverage data analytics. It shouldn’t be limited to the marketing team. To maximize the benefits of data-driven decision-making, businesses need to foster a culture where departments collaborate.
Sharing insights and working towards common goals allows for a more comprehensive understanding of data.
To Know more read our blog: https://ultimateseohelp.com/the-role-of-data-analytics-in-social-media-marketing/
Marketing Analytics Importance : Types Of Marketing AnalyticsCiente
Stay ahead in the competitive business world with marketing analytics - enhance decision-making, seize opportunities, and achieve heightened success through data-driven strategies.
Presentation made for a lecture that I gave at ITM Mumbai. Marketing Research was an elective subject for the students and this is an overview of the subject
Whitepaper: Predictive Analytics - Looking to the FutureIconixx
Successful companies move forward. They look to the future. That’s why Predictive Analytics are essential to setting business strategy and leveraging data to look ahead and predict how those potential strategies will meet corporate goals.
Steps to Conduct Market Research For Business PlanHeather Johnson
Enhance your business plan with effective Market Research steps. Identify your Target Audience, Size Your Market, and Uncover Unique Selling Propositions.
Who Is Your Business' MVP A DIY Guide to the Most Valuable PersonaseBoost Consulting
A DIY Guide to The Most Valuable Persona.
How much money are you leaving on the table by targeting the wrong customer? How well are you managing your customer acquisition? Is your customer strategy steering the business well? Are you maximizing your profit pool?
Starting, growing, surviving, and thriving customer strategies is a matter of navigating through your customer portfolio and steering in the right direction of your most valuable customers.
eBoost Consulting’s persona development process is an intensive 4-6 week engagement. In August Brown Bag webinar, we teach SMBs how to run through a DIY customer audit. You’ll learn:
•How to separate assumptions from facts.
•How to determine what customers matter to your business (and which ones don’t)
•How large your competitive advantage is.
•How to transfer these insights to your 2011 marketing plan.
A strategic framework for digital measurementPeter Isaksson
Presentationen innehåller ett övergripande synsätt om hur man bör hantera mätning av den digitala kanalen. Ofta fastnar organisationer i frågor kring verktyg eller hur man ska mäta den enskilda webbplatsen/-erna. Insikten kring vad målgruppen anser viktigt har på senare tid uppmärksammats genom att "Consumer decision Journey" har blivit ett begrepp och arbetssätt som ligger till grund för hur företag ska möta sin målgrupp. Svårigheten där är för många att skifta synsätt från att se ur ett företagsperspektiv till ett målgruppsperspektiv. Kommer vi till mätning så blir det än svårare för många att översätta och få något vettig ur sina analyser av målgruppens agerande och hur detta knyter an till den egna verksamheten. Lättare är då att falla tillbaka på att optimera mätning av flöden och KPI:r på den egna webbplatsen eller appen. Med detta material vill jag bidra till att belysa diskussionen och synsättet genom att introducera en ny indikator bredvid KPI:n som jag gett namnet SPI. SPI står för "Story Performance Indicator" och ska reflektera målgruppens agerande i den digitala kanalen. En "story" kan vara det mest diskuterade ämnet, mest nedladdade appen inom ert verksamhetsområde eller ett beteende. Idén är att man genom att mäta detta kontinuerligt och sätta det i ett sammanhang där man i slutändan knyter det till företagets KPI kan identifiera företagets totala potential (SPI) och utnyttjandegrad (KPI). En KPI mäter den sista delen i en beslutsresa medans en SPI mäter början.
Kommentera och dela gärna materialet. Materialet är på intet sätt statiskt utan kommer att utvecklas med nya erfarenheter och kommentarer.
// Peter Isaksson, PI Exponent AB
__________________________________________________________________________________
Peter Isaksson har arbetat med digitala frågeställningar i 14 år. Bland erfarenheterna kan följande företag och organisationer räknas in; SSAB, Postnord, Stora Enso, Riskpolisstyrelsen, Hero AG, AFA Försäkring, SJ, Lantmäteriet, Stockholms Läns Landsting, SEB, Folksam, Skandia, PRV, Statens Fastighetsverk, INCF, Kläppen, Ostnor, Electrolux och ett flertal andra uppdragsgivare.
Product Analytics Vs Marketing Analytics: What should you use?appICEappICE
Both Marketing Analytics and Product Analytics have a place of their own and must be used in conjunction. In short, both the tools possess a symbiotic relationship, when teamed with appropriate tools, they can create a cycle of positive growth for the whole organization.
In the digital age, data analysis has become an indispensable tool for businesses seeking to maximize the effectiveness of their marketing strategies. The abundance of data generated through online interactions, social media, and e-commerce has given marketers the power to gain deep insights into consumer behavior and preferences. This essay explores how data analysis is used in marketing strategies, covering various aspects from customer segmentation to campaign optimization.
Marketing has evolved significantly in recent years, transitioning from traditional, mass-market strategies to more personalized and data-driven approaches. The rise of digital technology and the internet has transformed the marketing landscape, making data analysis a cornerstone of successful marketing strategies. Today, data analysis empowers marketers to understand their audience, create more relevant and targeted campaigns, and measure the effectiveness of their efforts.
How Do I Track the Results of My Social Media Marketing Campaigns.pdfDigital
Maximize your Social Media Marketing ROI with Digital Retina! Uncover the secrets to effectively tracking and analyzing campaign results for informed decision-making and greater success in the digital realm.
Visit us - https://digitalretina.in/social-media-marketing/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. INTRODUCTION
Business Analytics is majorly used in the field of sports Marketing.
It is especially used in the Leagues namely, IPL and other worldwide tournaments.
The marketing bullets are commonly put forth by the companies, such as :
Specific logos, colours, fonts, advertising campaigns, promotions etc.
These bullets provide for the marketing need.
Data Analytics or rather say Business Analytics helps in deciding these final bullets
based on intensive market research.
The years 2014 to 2016 saw the highest growth in popularity of Business Analytics in
the field of Sports Marketing.
3. ANALYSIS
Various analysis is based on the availability of the data and the
sport organisation’s goals.
For example: A sport team can perform cluster analysis to
segment their fans, estimate customer lifetime values,
leads via look-a-like model, predict retention of existing fans,
and measure performance of marketing activities.
The results from data analyses allow the different sports teams
to communicate with the fans by sending the messages
effectively. Also, to the right person at the right time and also
the right platform.
4. In addition to the propaganda of fan club, Business analytics is
also used to evaluate and assess the effectiveness of these
marketing strategies and activities.
Another major contribution of business analytics in sports
marketing is value-based segmentation .
This is done by using cluster analysis.
The customers are grouped into different classes, namely the
profile containing lifetime value, behavioural , demographic and
geographical variables.
5. A little diversion from the topic, it would be great to say that
business analytics in sports analysis includes a whole range of
data-acquisition methods.
Based on the different types of data collection techniques,
sometimes the results do vary significantly in concluding the
estimations and future probabilities.
For example, some data might include categories like gender,
age, ethnicity and residential zip code and this inclusion varies
from time to time.
6. CONCLUSION
To conclude, it would be feasible to say that the
following steps are followed by the business anaylists to
enable sports marketing:
1. Problem Identification
2. Conduct background research to develop a
hypothesis.
3. Data collection and analysis.
4. Result presentation and interpretation.
