These are the slides from Scholastica's 2017 ISMTE conference presentation on how to perform an operational audit at your journal. We cover how to set effective journal performance goals, key metrics to track, and the tools and strategies your editorial team will need to start tracking journal performance on a regular basis. Conducting regular operational audits is a great way for journal teams to refine their workflows and internal documentation, which can prove especially useful when onboarding new editors.
This course is intended for understudies who have no past information on information investigation except for wish to gain these abilities in a brief timeframe.
These are the slides from Scholastica's 2017 ISMTE conference presentation on how to perform an operational audit at your journal. We cover how to set effective journal performance goals, key metrics to track, and the tools and strategies your editorial team will need to start tracking journal performance on a regular basis. Conducting regular operational audits is a great way for journal teams to refine their workflows and internal documentation, which can prove especially useful when onboarding new editors.
This course is intended for understudies who have no past information on information investigation except for wish to gain these abilities in a brief timeframe.
Key aspects of formulating a research problem. Need of understanding the research problem. What, Why, and How in research. Characteristics of a good research problem.
Taking portfolio benefits management to the next level with modern analytics webinar
Wednesday 13 June 2018
presented by Ian Stuart, Altis Consulting, Principal
hosted by Merv Wyeth, Benefits Management SIG Secretary
The link to the write up page and resources of this webinar:
https://www.apm.org.uk/news/taking-portfolio-benefits-management-to-the-next-level-with-modern-analytics-webinar/
Small Data Assessment and Action Researchsrosenblatt
These slides were shown during a presentation at lauc-b 2013, Making it Count: Opportunities and Challenges for Library Assessment, on October 23, 2013.
10 Tips for women to build a career in data scienceCarol Hargreaves
This presentation highlights the 10 things women should focus on when building a career in Data Science. Starting with the business question is key. Talking to the business users, business managers. stakeholders to understand the business question and how the results will impact the different employee roles is most important. Next is using only the relevant data to solve the business problem. After that, we should have good evaluation methods to ensure the analytical solution is sound. And lastly, but not least, show how the analytical results and models impact business in terms of its revenue, profitability, and operational efficiency.
Five Stealth Skills of Successful Analytic TranslatorsWendy Lynch
In these slides, Dr. Lynch covers what it is that Analytic Translators do to make analytic projects more successful and how does this role make a difference.
Startup and Growth companies that have unique and compelling product ideas still need to find a strategic pathway towards building that vision into a final product. Designing and building features is just part of the puzzle and fast iterations are only helpful if you are gaining real and useful learning from those releases. Data strategy ensures that each product feature released is backed by data to measure its impact and effectiveness.
How to Speak Human - Turning Big Data Insights into Actionable Business StrategyLuciano Pesci, PhD
Big Data has failed to deliver on its promise because decision-makers and technical practitioners aren't speaking the same language. Cryptic data outputs have to be translated into simple strategy recommendations to turn this trend around.
Driving Insights With Tableau presented at the Sacramento Tableau User Group Meeting. Presenting to Executive vs. Operational levels and adoption of data analysis. Information should only be shared to whoever is relevant and can take action. Identify homogeneous groups, their questions and their goals. Where can they take action?
• Understand the company business and high-level goals
• Current reporting structure • Company organizational chart
• Stakeholder interviews or informal conversations
SharePoint "Moneyball" - The Art and Science of Winning the SharePoint Metric...Susan Hanley
Measurement is not just about looking for a bottom-line result to justify investments. It’s also a tool to provide feedback about where the organization is along the road to successfully leveraging investments in SharePoint and the business outcomes it provides. At every stage in the development of your solution, metrics provide a valuable means for focusing attention on desired behaviors and results. This presentation showcases a practical and realistic framework for SharePoint metrics based on real world examples and successes.
This presentation describes the marketing plan of Google Play Store App - VR 360 Relax. It is created during Marketing Internship under Prof. Sameer Mathur, iIM Lucknow
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
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.
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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.
How to start thinking like a data scientist - Article Analysis
1. How to Start Thinking Likea Data
Scientist
By Thomas C. Redman
2. How to start?
Be open minded and
startwith paper, pencil
and calculator
3. What willhappen?
• Become data literate
• Open eyes to millions of
smalldata opportunities
and make us work
efficientlywith data
scientistsand analytics
4.
5. How to think?
• Form a question on what
bothers you
• Thinkabout the data that can
answer the question
• Develop a plan for creating the
answer
• Write down allthe relevant
definition and your protocol for
collecting the data
6. How to describe?
• Identify the gaps in data
collection
• Modify your definition and
protocol asyou go along
• Start drawing pictures by hand
to describe your variable of
interest
7. How to communicate?
• Use availabletools to draw
good pictures to both
understand the data and
communicate main points to
others
• Return to the question thatyou
started with and develop
summary statistics
8. How to answer?
• Answer the so what question
• Understand variation for deeper
insightsand novel ideas of
improvement for the overall
problem
• Pose the next group of
questions – 2 or 3 at most to
keep the focus narrow
10. Conduct basic analyses
• Identify the employee
performance
• Collect data of possible causes
for low performance
• Develop plans to resolve
efficiently
• Implement to increase
productivity
11. Interpret complex analyses
• Identify the market trends
• Collect data on customer needs
• Develop plansto target the
demanding service
• Implement required business
process
12. Interact with DataScientist
• Identify skills of talented data
scientist
• Collect data on significanttasks
to allocate
• Develop potential to
understand their analysis
• Implement solutions to elevate
business model