Data Analytics is the process of extracting meaning from raw data using computer software. This process transforms organizes and models data to extract meaningful conclusions and identify patterns.
Data Analytics Role in Digital Business & Business Process ManagementBPMInstitute.org
Discover the role of data analytics in transformation projects and business process management. What are the four key areas of data analytics and what are the types of data analytics. Also explains data visuals.
This presentation is an Introduction to the importance of Data Analytics in Product Management. During this talk Etugo Nwokah, former Chief Product Officer for WellMatch, covered how to define Data Analytics why it should be a first class citizen in any software organization
Data Analytics Role in Digital Business & Business Process ManagementBPMInstitute.org
Discover the role of data analytics in transformation projects and business process management. What are the four key areas of data analytics and what are the types of data analytics. Also explains data visuals.
This presentation is an Introduction to the importance of Data Analytics in Product Management. During this talk Etugo Nwokah, former Chief Product Officer for WellMatch, covered how to define Data Analytics why it should be a first class citizen in any software organization
The process of data cleaning involves the process of transformation of data from a raw format to a format that is compatible with your and use case.
Read More: https://expressanalytics.com/blog/growing-importance-of-data-cleaning/
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
This lecture gives various definitions of Data Mining. It also gives why Data Mining is required. Various examples on Classification , Cluster and Association rules are given.
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytic...Edureka!
Data Analytics for R Course: https://www.edureka.co/r-for-analytics
This Edureka Tutorial on Data Analytics for Beginners will help you learn the various parameters you need to consider while performing data analysis.
The following are the topics covered in this session:
Introduction To Data Analytics
Statistics
Data Cleaning and Manipulation
Data Visualization
Machine Learning
Roles, Responsibilities and Salary of Data Analyst
Need of R
Hands-On
Statistics for Data Science: https://youtu.be/oT87O0VQRi8
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DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Big Data Characteristics And Process PowerPoint Presentation SlidesSlideTeam
We present you content-ready big data characteristics and process PowerPoint presentation that can be used to present content management techniques. It can be presented by IT consulting and analytics firms to their clients or company’s management. This relational database management PPT design comprises of 53 slides including introduction, facts, how big is big data, market forecast, sources, 3Vs and 5Vs small Vs big data, objective, technologies, workflow, four phases, types, information analytics process, impact, benefits, future, opportunities and challenges etc. Our data transformation PowerPoint templates are apt to present various topics such as information management concepts and technologies, transforming facts with intelligence, data analysis framework, data mining, technology platforms, data transfer and visualization, content management, Internet of things, data storage and analysis, information infrastructure, datasets, technology and cloud computing. Download big data characteristics and process PPT graphics to make an impressive presentation. Develop greater goodwill with our Big Data Characteristics And Process PowerPoint Presentation Slides. Folks feel friendlier towards you.
Empowering Your Business with Advanced Data Analytics ServicesCorotsystems
Corot Systems offers advanced data analytics services to empower businesses with valuable insights and data-driven strategies. Our team of experts utilizes cutting-edge techniques in predictive modeling, data visualization, and analysis to unlock the full potential of your data. Transform your business with our comprehensive data analytics solutions.
The process of data cleaning involves the process of transformation of data from a raw format to a format that is compatible with your and use case.
Read More: https://expressanalytics.com/blog/growing-importance-of-data-cleaning/
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
This lecture gives various definitions of Data Mining. It also gives why Data Mining is required. Various examples on Classification , Cluster and Association rules are given.
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytic...Edureka!
Data Analytics for R Course: https://www.edureka.co/r-for-analytics
This Edureka Tutorial on Data Analytics for Beginners will help you learn the various parameters you need to consider while performing data analysis.
The following are the topics covered in this session:
Introduction To Data Analytics
Statistics
Data Cleaning and Manipulation
Data Visualization
Machine Learning
Roles, Responsibilities and Salary of Data Analyst
Need of R
Hands-On
Statistics for Data Science: https://youtu.be/oT87O0VQRi8
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Big Data Characteristics And Process PowerPoint Presentation SlidesSlideTeam
We present you content-ready big data characteristics and process PowerPoint presentation that can be used to present content management techniques. It can be presented by IT consulting and analytics firms to their clients or company’s management. This relational database management PPT design comprises of 53 slides including introduction, facts, how big is big data, market forecast, sources, 3Vs and 5Vs small Vs big data, objective, technologies, workflow, four phases, types, information analytics process, impact, benefits, future, opportunities and challenges etc. Our data transformation PowerPoint templates are apt to present various topics such as information management concepts and technologies, transforming facts with intelligence, data analysis framework, data mining, technology platforms, data transfer and visualization, content management, Internet of things, data storage and analysis, information infrastructure, datasets, technology and cloud computing. Download big data characteristics and process PPT graphics to make an impressive presentation. Develop greater goodwill with our Big Data Characteristics And Process PowerPoint Presentation Slides. Folks feel friendlier towards you.
Empowering Your Business with Advanced Data Analytics ServicesCorotsystems
Corot Systems offers advanced data analytics services to empower businesses with valuable insights and data-driven strategies. Our team of experts utilizes cutting-edge techniques in predictive modeling, data visualization, and analysis to unlock the full potential of your data. Transform your business with our comprehensive data analytics solutions.
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
Top Data Collection Tips to Help You Unlock Your Business PotentialAndrew Leo
A systematic process of gathering observations or measurements, data collection plays a vital role in enhancing customer experience and promoting informed decision-making. Data can be collected through multiple sources such as feedback, surveys, online tracking, social media monitoring, etc.
Read here the inspired blog: https://www.damcogroup.com/blogs/top-data-collection-tips-to-help-you-unlock-your-business-potential
#datacollectionservices
#webdatacollection
#datacollectionplatforms
#datacollectioncompany
#datacollectioncompanies
This presentation is contains slides explaining the basics of big data and predictive analytics.
It also shows how predictive analytics can be used by non programmers by off-the-shelf tools such as RapidMiner, Excel, etc.
The tool for the hands on/demo session in this presentation was RapidMiner 5.1 Community edition
Data-Analytics-Essentials-Building-a-Foundation-for-Informed-Business-Choices...Attitude Tally Academy
Unlock the power of informed decision-making with our guide, "From Data to Decisions: Building a Solid Foundation for Business Success" Explore the essentials of data analytics, empowering your business to thrive in a data-driven era. Discover strategic insights, navigate through information overload, and transform raw data into actionable intelligence.Whether you're a startup or an established enterprise, this resource is your roadmap to making sound business choices and charting a course toward success.Dive into the world of data-backed strategies and position your business for growth in today's competitive landscape.
Useful Link:- https://www.attitudetallyacademy.com/class/pythonda
Data-Driven Decisions A Pillar of Effective Digital Marketing.docxIstudio Technologies
In the fast-paced world of digital marketing, staying ahead of the competition is crucial. One of the most effective ways to do this is through data-driven decisions.
How to Integrate Data to Drive Customer SuccessGainsight
The most successful Enterprise SaaS companies know that growing revenue only through new customer acquisition is the less efficient way to scale. Rather, they understand that growing revenue within your existing customer base - through up-sells, cross-sells, and expanded use - is the most profitable way to scale.
In fact, Enterprise SaaS companies that grow revenue - and company valuation - by expanding revenue within their existing customer base also know the key to making this work is to focus on - and operationalize - Customer Success.
This presentation - How to Integrate Data to Drive Customer Success - is from Pulse 2014, the biggest Customer Success industry event ever and included panelists from Cornerstone OnDemand, Citrix, Box
Metrics to Maturity, Intelligence for Innovation: Your Value PropositionCherwell Software
Managing the perception of value is a key strategic initiative that solidifies the business case for further investment in an organization’s service desk. However, metrics are the key to achieving this difficult and challenging proposition. Taking a segmented approach to metrics can bring speed and relevancy to reports and dashboards by empowering the user’s data literacy and the organization’s overall strategic goals. This session will explain how correctly managing metrics for maturity can go hand-in-hand with innovation and value. Status quo BI initiatives will no longer be good enough for IT to maintain its value proposition. The IT organization should manage the user’s perception of value with business intelligence and metrics.
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
What is Data Mining?
The process of determining useful patterns and relationships in big data through algorithms, to extract knowledge from data warehouses.
Role of Data Mining in CRM:
1. Get a holistic view of customer life-cycle
2. More data will result in accurate models
3. Leverage forecasting and descriptive modeling techniques
4. Have a proactive approach with predictive analytics
How will Data Mining Benefit my Business?
1. Conduct Basket Analysis for better stocking, store layout, and promotion strategies
2. Sales Forecasting to optimize your sales, supply chain and financial management
3. Predictive Lifecycle Management for each customer to segment them accordingly
4. Optimal Allocation of company’s resources for enhanced productivity and better ROI
5. Product Customization by predicting features that meet the customer’s demands
6. Database Marketing for a defined target market, personalized campaigns, and promotional offers
7. Predict Warranty Claims by the customers and their average cost to have efficient management of funds
8. Fraud detection by analyzing past fraudulent transactions and taking corrective measures
Techniques of Data Mining in CRM
1. Clustering – Identify similar data sets and understand both similarities and differences in data to increase conversion rates
2. Classification – Gather all information about a data set and classify it into proper categories.
3. Anomaly Detection – Information that does not match the expected behavior or projected pattern, providing actionable information
4. Association Rule Learning – Uncover hidden patterns from the data to better understand your customer’s habits and predict their decisions
5. Regression – Find dependency between different data items and map out the effect of variables on each other. It helps in determining customer satisfaction levels and its impact on customer loyalty
Read our entire blog here: https://www.rolustech.com/blog/data-mining-crm
Andy Vanzurpele HR Planning & Analytics - ING BelgiumHRmagazine
ING startte in 2013 met de uitbouw van HR Analytics om de HR-strategie datagedreven te maken.
Andy Vanzurpele leidde het project van meet af aan en wijst ons graag op een aantal successen en lessen die hij trok. In deze interactieve sessie schetst hij enkele concrete cases en toont hij hoe de resultaten werden toegepast binnen HR en de brede organisatie.
Take a look at this interesting presentation on ➡ 3 Pillars to become successful with your analytics strategy
Inculcate a culture of analytics, have the right people on-board, get your organization strategy on one page, and have the right architecture and data management strategies in place.
Link: https://bit.ly/2BanJcW
Data-Driven Dynamics Leveraging Analytics for Business GrowthBryce Tychsen
Explore the dynamic landscape of data-driven growth and learn how analytics can propel businesses to success. Discover strategies, tools, and best practices for harnessing data insights to drive growth and innovation.
Maximizing-Efficiency-How-MIS-and-Data-Analytics-Drive-Informed-DecisionsAttitude Tally Academy
Welcome participants to the presentation on maximizing efficiency through MIS and data analytics. Discover how these tools can support informed decision-making in today's business landscape.
Similar to Data Analytics: Improving Business (20)
As companies integrate these tools into their operations, it is essential to understand the potential risks.
By embracing these risks and implementing effective risk management strategies, organizations can leverage the full potential of these technologies while maintaining a safe and secure operating environment.
IT organizations are looking to cloud automation for its opportunities for their infrastructures and are finding a solution to the madness. Cloud management services allow for predictability and adaptability — both valuable properties of infrastructure agility. Cloud computing shoulders some of the burden for IT professionals in offering scalability and adjustability, all while being cost effective. In doing so, cloud services have the capabilities for you to fight planned obsolescence.
Integrated Security for Software Development and Advanced Penetration Testing...Symptai Consulting Limited
Security by design is an approach to software development that seeks to make systems as free of vulnerabilities and attacks as possible through such measures as continuous testing, authentication safeguards and adherence to best programming practices.
Many business leaders in the Caribbean believe that cyber-attacks are not imminent and do not pose a direct threat to their business. On the contrary, many Caribbean companies are exposed to malicious exploitation as testing has revealed their vulnerabilities. This webinar is an opportunity for business leaders to engage the experts as they discuss the cyber threats within the region and their implications.
With the right kind of cyber protection, Caribbean business leaders can empower their businesses on digital platforms and allow for safe spaces for their employees, customers, and stakeholders.
The rate at which technology is changing has caused a tremendous amount of Transformation trends across all industries. The same technological advancements that make Digital Transformation possible is also creating an ever-growing cyber-attack surface. With ever-connected devices and more people working remotely means more sophisticated ways for attackers to exploit systems and networks.
Without setting the right goals and following the right steps Digital Transformation can turn out to be nothing more than digitizing without accomplishing much.
While the COVID-19 pandemic has impacted the way the majority of us work and live our lives, cyber attackers have not taken a break. The pandemic has fuelled cyber-attacks as the attention may have shifted to the healthcare sector. Equipped with the correct monitoring tools, organizations may have noticed a dramatic increase in the number of cyber-attacks directed at its resources and staff. Not only are our organizations being targeted, but cybercriminals are targeting and attacking us as individuals.
COVID-19 has made remote work the norm in certain industries and this may remain in place even after we get over the pandemic.
The Data Protection Bill has been passed into law this bill will change the way we are required to handle personally identifiable data of all Jamaican citizens.
Symptai Consulting Ltd. is the only certified training partners of the IAPP - International Association of Privacy Professionals in the English speaking Caribbean. Our team of trained professionals can meet all your privacy needs and help you transition to a state of compliance.
The current climate has affected Industries all across the world. Join our team as we discuss the differences between cost-cutting and cost optimization and why we should be looking to make decisions for long term growth even in a time of crisis. Topics include:
What is cost optimization and how does that differ from cost-cutting?
What are good costs and bad costs?
Which costs should you cut first?
Identify compliance deficiencies and provide recommendations to achieve and verify compliance based on the 12 PCI DSS requirements and security assessment procedures in order to avoid broad regulatory actions.
Living in an era of collusion, fraud, and money laundering has put most organizations on high alert and forced regulatory institutions to tighten their belts. This, in turn, has shifted the conversations that we are having with industry leaders who are looking to strengthen their anti-money laundering (AML) and counter financial terrorism (CFT) programs in order to maintain their critical international business relationships, as those intermediaries seek to de-risk.
Privacy is the right to be left alone, or freedom from interference or intrusion. Due to advancement in technological innovation, information privacy is becoming more complex by the minute as more data is being collected and exchanged.
With increased focus on cyber-security and consequently efforts by enterprises to ensure resilience against cyber-attacks and data breaches, it is critical that IS audit techniques evolve to ensure its continued importance and effectiveness as an independent assessor of an organisation’s control environment.
With the latest news of privacy violations on popular social media platforms and the new regulations coming from the European Union (EU) – The General Data Protection Regulations (GDPR), how companies use data and the laws protecting consumers is in the forefront of many person’s minds.
Everyone is important in Security. Empower your team.
Plan, Execute, Report, Follow-up, Close and Repeat.
Frequency of Cyber-Attacks
21,239 Incidents targeted Public Services
239 Were breaches
58 Incidents per day
"Data Mining is a term that has been described many different ways, whether it be Big Data, Data Science, Data Analytics or even Business Intelligence. Technology has reached a point today where almost anyone can not only start data mining on our own but find some way for it to benefit ourselves and our companies." Rory Barrett
Can you tell if your computer has been compromised?
Cyber Security is a practice which intends to protect computers, networks, programs and data from unintended or unauthorized access, change or destruction
More than 50% of the world's population is actively connected to the internet.
Cyber Security is becoming a fundamental requirement for every business organization worldwide. We are all susceptible to this new frontier of crime and it is our responsibility to be prepared.
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
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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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.
2. What is Data Analytics?
Data Analytics is the process of extracting meaning from raw data
using computer software. This process;
• transforms,
• organizes; and,
• models data to draw conclusions and identify patterns.
4. Why is Data Analytics Important?
Data Analysis is the best way for a business to understand their
challenges.
• It organises , interprets, structures and presents data as useful
information.
• This context is then used to make informed decisions to enhance
productivity and business value.
11. To improve your approach to data analytics
1. Evaluate the data to identify gaps and use this to improve data
quality over time.
2. Clearly define the objectives and choose appropriate tools.
3. Focus on objectives that have the most impact on business
value.
12. Summary
• Be creative about how you approach data analysis.
• Invest in the people and tools necessary for success.
• Provide value for management from data analytics.
• Where possible eliminate sampling risk.
• Use data analytics to make informed decisions.
CRISP-DM stands for cross-industry process for data mining.
The CRISP-DM methodology provides a structured approach to planning a data mining project.
It is a robust and well-proven methodology
https://www.sv-europe.com/crisp-dm-methodology/
There have been several attempts to
make the process of discovering knowledge scientific.
And those attempts are called the KDD process,
the CRISP-DM process, and the CCC Big Data Pipeline.
By leveraging different computer software to apply statistical and other mathematical principles to data.
Group together things that are “similar” according to some definition of “similar”.
Example: Are there groups of customers with similar buying/purchase habits?
In marketing, cluster analysis is what is used to divide customers into “segments”.
Used to make effective product offerings
Pregnancy coupons/ gift cards based on buying habits
Assign a probability that something belongs to 1 of several mutually exclusive classes.
Example: Is this credit card transaction fraudulent? (A: probability Yes/No) Will this person donate to my charity? (A: probability Yes/No)
Is this person suffering from a heart attack, or some other mimic condition? (A: probability of Attack)
K-NN, K nearest Neighbors where examples are categorized based on shared attributes.
anomaly detection (also outlier detection)
is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data
Predict the most likely value of a continuous variable.
Example: what will sales be next quarter?
How much will this group of customers spend over the next year?
What will be the market share of our new product?
Linear Regression
Neural Network