Marie Turner, an SEO specialist at Vertical Leap, shows you how to set up data benchmarking and forecasting to help your data reports become mroe meaningful.
ConversionSummit 2015 - Testing culture: making testing look easy!?Martijn Scheijbeler
How we set up the culture around this, how we are able to scale this fast and how will of this help you in improving your testing program and it’s culture.
What good is data if it doesn't become information? And what good is it if it doesn't answer the burning questions? What good is it if it's irrelevant to the ones who need it most? Avoid demonstrating with certainty that you don't understand the question or the people asking it by practicing Insight Design.
Master the essentials of conversion optimizationArnas Rackauskas
Conversion optimization is a process. Amateurs follow best practices and don’t know where to begin. Experts follow frameworks and processes.
This expert guide will teach you the process of optimization.
How to become Data Driven for startups - keboolaPavel Dolezal
Startups are interesting place. Magic happens there when they're trying to find their product/market fit. Sometimes they forget to measure their success so it is hard to repeat it. We help lot's of them to find their data mojo. This is a short intro to metrics, data collection and what to focus on.
ConversionSummit 2015 - Testing culture: making testing look easy!?Martijn Scheijbeler
How we set up the culture around this, how we are able to scale this fast and how will of this help you in improving your testing program and it’s culture.
What good is data if it doesn't become information? And what good is it if it doesn't answer the burning questions? What good is it if it's irrelevant to the ones who need it most? Avoid demonstrating with certainty that you don't understand the question or the people asking it by practicing Insight Design.
Master the essentials of conversion optimizationArnas Rackauskas
Conversion optimization is a process. Amateurs follow best practices and don’t know where to begin. Experts follow frameworks and processes.
This expert guide will teach you the process of optimization.
How to become Data Driven for startups - keboolaPavel Dolezal
Startups are interesting place. Magic happens there when they're trying to find their product/market fit. Sometimes they forget to measure their success so it is hard to repeat it. We help lot's of them to find their data mojo. This is a short intro to metrics, data collection and what to focus on.
How to successfully predict traffic on your website with high accuracy convertedDigitalberge
This is an SEO White Paper on How to Successfully Predict Organic Traffic on Your Website with High Accuracy - compiled by DigitalBerge - SEO Company India. This white paper is beneficial for those who are really interested in predicting the traffic of their website. But not aware, from where to start? Here, We are sharing an entire approach to predict the organic traffic of your website.
SharePoint Business Intelligence for the Common PersonRegroove
Everyone knows that BI (business intelligence) is going to help get you answers that you wouldn't otherwise have at your fingertips, but not a lot of people know how to get those answers, let alone how easy it can really be (with SharePoint). In this session, we'll go over some of the simple ways of giving users (and yourself) what they deserve - the information they need, accurately, and timely.
IDEO workshop for Techstars - we covered Purpose, Research, Empathy and finally Experimentation.
You can see my deck here and download the exercise on my blog here: http://thul.me/14Tp2D8
MeasureFest - Weighted Sort - Google's not-so-hidden Algorithm that could Tra...Matthew Kay
Weighted sort is an algorithm – tucked away in certain reports within Google Analytics – that ranks rows of data according to how statistically significant the output is. You may be familiar with weighted sort within the context of GA – but there are far wider-reaching applications. In this session, I’ll explain what weighted sort is, and how it can help a variety of other marketing aspects; analysing your top converting keywords, establishing what ads are really performing and when is the most engaging time to post on social.
Big Ways Data Can Play a Role in Your Relocation ProgramUrbanBound
Uncover the true meaning behind our favorite buzzword: big data. Here, we'll break down this term and give you ways to turn it into something manageable. (Learn even more in our eBook: http://resources.urbanbound.com/reasons-data-should-play-a-role-in-your-relocation-program)
Automating does not necessarily revolve around expensive tools or having to code advanced scripts. It’s about being creative with what you have and using the resources you have available at your disposal.
Inspired by his former boss asking him to do the exact same reporting for 12 countries across 3 individual business units, Danny provides insights to how daily tasks can be solved through automation, making terrible repetitive tasks (hopefully) a little more obsolete
Data Science has become one of the most demanded jobs of the 21st century. It has become a buzzword that almost everyone talks about these days. But what is Data Science? In this article, we will demystify Data Science, the role of a Data Scientist and have a look at the tools required to master Data Science.
How do IT service desks bets metrics and reporting as an investment into learning more about them selves, and then making the changes they need to provide even greater services?
We explore the 5 ways to achieve meaningful metrics within your IT team.
Best Data Analytics Certification Course Training Institute in Malaysia: 360DigiTMG is the best Data Analytics using Python Training Institute In Malaysia providing Data Analytics Training Classes by real-time faculty with course material.
How to successfully predict traffic on your website with high accuracy convertedDigitalberge
This is an SEO White Paper on How to Successfully Predict Organic Traffic on Your Website with High Accuracy - compiled by DigitalBerge - SEO Company India. This white paper is beneficial for those who are really interested in predicting the traffic of their website. But not aware, from where to start? Here, We are sharing an entire approach to predict the organic traffic of your website.
SharePoint Business Intelligence for the Common PersonRegroove
Everyone knows that BI (business intelligence) is going to help get you answers that you wouldn't otherwise have at your fingertips, but not a lot of people know how to get those answers, let alone how easy it can really be (with SharePoint). In this session, we'll go over some of the simple ways of giving users (and yourself) what they deserve - the information they need, accurately, and timely.
IDEO workshop for Techstars - we covered Purpose, Research, Empathy and finally Experimentation.
You can see my deck here and download the exercise on my blog here: http://thul.me/14Tp2D8
MeasureFest - Weighted Sort - Google's not-so-hidden Algorithm that could Tra...Matthew Kay
Weighted sort is an algorithm – tucked away in certain reports within Google Analytics – that ranks rows of data according to how statistically significant the output is. You may be familiar with weighted sort within the context of GA – but there are far wider-reaching applications. In this session, I’ll explain what weighted sort is, and how it can help a variety of other marketing aspects; analysing your top converting keywords, establishing what ads are really performing and when is the most engaging time to post on social.
Big Ways Data Can Play a Role in Your Relocation ProgramUrbanBound
Uncover the true meaning behind our favorite buzzword: big data. Here, we'll break down this term and give you ways to turn it into something manageable. (Learn even more in our eBook: http://resources.urbanbound.com/reasons-data-should-play-a-role-in-your-relocation-program)
Automating does not necessarily revolve around expensive tools or having to code advanced scripts. It’s about being creative with what you have and using the resources you have available at your disposal.
Inspired by his former boss asking him to do the exact same reporting for 12 countries across 3 individual business units, Danny provides insights to how daily tasks can be solved through automation, making terrible repetitive tasks (hopefully) a little more obsolete
Data Science has become one of the most demanded jobs of the 21st century. It has become a buzzword that almost everyone talks about these days. But what is Data Science? In this article, we will demystify Data Science, the role of a Data Scientist and have a look at the tools required to master Data Science.
How do IT service desks bets metrics and reporting as an investment into learning more about them selves, and then making the changes they need to provide even greater services?
We explore the 5 ways to achieve meaningful metrics within your IT team.
Best Data Analytics Certification Course Training Institute in Malaysia: 360DigiTMG is the best Data Analytics using Python Training Institute In Malaysia providing Data Analytics Training Classes by real-time faculty with course material.
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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.
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.
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.
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
3. Data science is our thing here at Vertical Leap. We’re able to automate a lot of SEO tasks and data handling using our AI tool, Apollo
Insights, including forecasting. But what I’m going to show you today is how to set up a simple forecast that takes minutes in excel that
can add REAL value to your work that doesn’t require python scripts and AI.
4. SEO...?
SEO is very ambiguous. What you thought will work, sometimes doesn’t. Even though it’s worked before. A lot of SEO is guesswork -
educated guesswork! But guesswork nonetheless.
5. When I started in SEO after working in advertising and selling media for 5 years, this part of SEO really unsettled me. How could I tell what
I was doing was worthwhile and making a difference? Because in advertising, I could promise a client exactly how many people would
hear or see their ad or content. I could tell when if their ad reaches their target audience. And they would be happy because I had given
them what they’d asked for - sometimes even more!
With SEO, it can often feel like stabbing in the dark, or trying to see into the future using magic.
6. How do you know when the on page updates you made have worked?
- Could it have been a small algo update that has changed the characteristics of your niche?
- Was there a sudden unseasonal demand?
- Was there subtle fluctuations in the market which has caused a competitor of yours to underperform?
7. SEO is dealing with people. Not Algos. And this is important to remember that to get to the bottom of the ambiguity issue is just that.
We’re no longer second-guessing what a team at Google will do next. We’re all - search engines included - trying to understand people
and why they want the things that they do and when. And most importantly, what.
8. This is why we need to take a scientific approach to search. By asking questions, creating a hypothesis, and testing that hypothesis over and
over will we ever be able to make SEO less ambiguous, and more helpful. We need to able to tell what is unusual, and what is just natural
fluctuations in traffic. Imagine being able to tell your client that your work has made an impact, and how much impact.
9. Standard
Deviation
This is where I’m going to introduce you to something called “Standard Deviation”. You may have heard of this before if you studied
maths at any point in your life.
10. n-1
Population Sample
This is standard deviation. There are two types of equation, n and n-1.
N is population. Use this formula if you have all your data you want to measure present.
N-1 is a sample, and the -1 corrects the discrepancy. Say you want to measure your data over a year but you don’t have a complete year’s
worth, use sample
If you’re sitting here thinking, oh no maths...
11. … don’t worry. This is SIMPLE basic stuff. How do I know?
12. Dyscalculia
I have dyscalculia. I am dyslexic with maths. I have struggled with maths all my life. I still find it hard to read out a long line of
numbers or a serial code. But Like many other dyscaclulics, (sup einstein) I need CONTEXT. And this is going to give you context.
Never ever think data science isn’t for you! It is!
16. Download your data. You can use any time-series data for this. For this we’re using sessions from GA.
Take 2 year’s worth of your data for a specific subfolder, URL, etc that you want to measure. Download it as a csv/excel.
17. Put your time-series into two columns. Then split them by the 2 year s like this.
18. =AVERAGE(cell,cell)
Then average out each day using =AVERAGE. And remove the year in the date column. You can do this by formatting the cells as dates,
then removing YYYY. We want the dates lined up here. If there’s leap year, remove the extra day. Outliers gone.
24. This is probably the most maths you need to do. And this will spit out a single number. That single number is how much your data deviates
on average over time.
25. And there you have it. You now have a basic forecast. Clever you!! You can now tell what is usual traffic fluctations and which aren’t.
Interestingly, the drops in this graph abive correlate exactly with the March 2019 core updates.
Now make the changes you need to on the site. Test your hypotheses. Go wild. Simply add in your data at the end of the graph and you can
see if you’ve made a difference to your traffic. Or if there’s no change. Or if you’ve made it worse unusually!
26. You made it! Hooray!
What can you now do with your forecast?