Leonardo da Vinci, The Dream And The DreamerTon Pascal
“Perfect, perfect, perfect,” says Professor Carlo Pedretti of the recently discovered ‘Horse and Rider’, a bronze sculpture by Leonardo da Vinci, May 2012. This bronze was cast from a mold handcrafted by the master in beeswax over five centuries ago…
Leonardo’s dreams seem to have surpassed the dreamer. It is amazing to see all of his lost objects popping up all over the world. It is no wonder since Leonardo lived like a nomad for the most part of his life. At times on the road, he would trade a painting or a sculpture with a farmer for the simple living necessities. So, in the end he had work scattered all over the Italian territory, but not necessarily in rich Palaces.
SweetCiderMusic is one of the top sites that covers musics like hip hop,pop,jazz,rap, classical. Latest mp3 songs ,videos are available for free. Online radio facility is the best feature of our site.
Modelling Clustering of Wireless Sensor Networks with Synchronised Hyperedge ...M H
This paper proposes Synchronised Hyperedge Replacement (SHR) as a suitable modelling framework for Wireless Sensor Networks (WSNs). SHR facilitates explicit modelling of WSNs applications environmental conditions (that significantly affect applications performance) while providing a sufficiently high level of abstraction for the specification of the underling coordination mechanisms. Because it is an intractable problem to solve in distributed manner, and distribution is important, we propose a new Nutrient-flow-based Distributed Clustering (NDC) algorithm to be used as a working example. The key contribution of this work is to demonstrate that SHR is sufficiently expressive to describe WSNs algorithms and their behaviour at a suitable level of abstraction to allow onward analysis.
Positioning for Retail Recovery: The Role of Predictive Analytics Fueled by M...Precisely
As parts of the world show signs of emergence from the initial Covid-19 onslaught, retailers are opening their doors and looking to reduce risk and increase opportunities through strategies which are backed by highly accurate data and analytics. Retailers who understand context and can make location intelligent marketing plays will win, with mobile trace data playing a key role in taking contextual consumer understanding to the next level.
In this webinar, discover how using mobile trace data helps the most effective retailers and restaurants to understand previous pedestrian footfall and predict the most likely areas where retail activity will return. This understanding is helping to drive highly targeted multi-channel marketing programs for leaders in the industry.
This on-demand webinar will also cover:
- The principles of mobile trace data and what makes it a game-changing data set for the retail community
- How to use mobile trace data analytics to drive retail strategies around site selection and marketing in a transformative environment
- Showcasing of retailer use cases where predictive analytics fueled by mobile trace data is being used to compete and win in the market
The Retail Strategy and Planning Series is designed to provide retail executives with the tactical tips, insights, metrics and trend data needed to guide 2017 strategies. Today’s retailers need to tap every tool in their arsenal to satisfy shoppers. Location data can improve personalized interactions, customized product offerings and optimized merchandising decisions. Tune into this exclusive #RSP16 event to learn more: http://ow.ly/jEEx304f3Rt
Consumer Goods Companies need to overcome the challenges of integrating multiple data sources. Learn how to deal with disparate, misaligned and missing data. Gain insights that fuel an Enterprise from a single source of truth.
Retail Site Selection in a World of Digital TransformationPrecisely
The need for intelligent data-driven decisions on site selection has just received a turbo-charge, and the risk profile of making the wrong decision is now increased. Discover the fundamental data, analytical methods and insights needed to locate high-performing sites regardless of the retail industry segment. To optimize doesn’t always mean to grow; it can also mean identifying where to reduce physical investment and drive channel shift strategies. Learn how to make such data-driven retail decisions in the current, complex environment.
Leonardo da Vinci, The Dream And The DreamerTon Pascal
“Perfect, perfect, perfect,” says Professor Carlo Pedretti of the recently discovered ‘Horse and Rider’, a bronze sculpture by Leonardo da Vinci, May 2012. This bronze was cast from a mold handcrafted by the master in beeswax over five centuries ago…
Leonardo’s dreams seem to have surpassed the dreamer. It is amazing to see all of his lost objects popping up all over the world. It is no wonder since Leonardo lived like a nomad for the most part of his life. At times on the road, he would trade a painting or a sculpture with a farmer for the simple living necessities. So, in the end he had work scattered all over the Italian territory, but not necessarily in rich Palaces.
SweetCiderMusic is one of the top sites that covers musics like hip hop,pop,jazz,rap, classical. Latest mp3 songs ,videos are available for free. Online radio facility is the best feature of our site.
Modelling Clustering of Wireless Sensor Networks with Synchronised Hyperedge ...M H
This paper proposes Synchronised Hyperedge Replacement (SHR) as a suitable modelling framework for Wireless Sensor Networks (WSNs). SHR facilitates explicit modelling of WSNs applications environmental conditions (that significantly affect applications performance) while providing a sufficiently high level of abstraction for the specification of the underling coordination mechanisms. Because it is an intractable problem to solve in distributed manner, and distribution is important, we propose a new Nutrient-flow-based Distributed Clustering (NDC) algorithm to be used as a working example. The key contribution of this work is to demonstrate that SHR is sufficiently expressive to describe WSNs algorithms and their behaviour at a suitable level of abstraction to allow onward analysis.
Positioning for Retail Recovery: The Role of Predictive Analytics Fueled by M...Precisely
As parts of the world show signs of emergence from the initial Covid-19 onslaught, retailers are opening their doors and looking to reduce risk and increase opportunities through strategies which are backed by highly accurate data and analytics. Retailers who understand context and can make location intelligent marketing plays will win, with mobile trace data playing a key role in taking contextual consumer understanding to the next level.
In this webinar, discover how using mobile trace data helps the most effective retailers and restaurants to understand previous pedestrian footfall and predict the most likely areas where retail activity will return. This understanding is helping to drive highly targeted multi-channel marketing programs for leaders in the industry.
This on-demand webinar will also cover:
- The principles of mobile trace data and what makes it a game-changing data set for the retail community
- How to use mobile trace data analytics to drive retail strategies around site selection and marketing in a transformative environment
- Showcasing of retailer use cases where predictive analytics fueled by mobile trace data is being used to compete and win in the market
The Retail Strategy and Planning Series is designed to provide retail executives with the tactical tips, insights, metrics and trend data needed to guide 2017 strategies. Today’s retailers need to tap every tool in their arsenal to satisfy shoppers. Location data can improve personalized interactions, customized product offerings and optimized merchandising decisions. Tune into this exclusive #RSP16 event to learn more: http://ow.ly/jEEx304f3Rt
Consumer Goods Companies need to overcome the challenges of integrating multiple data sources. Learn how to deal with disparate, misaligned and missing data. Gain insights that fuel an Enterprise from a single source of truth.
Retail Site Selection in a World of Digital TransformationPrecisely
The need for intelligent data-driven decisions on site selection has just received a turbo-charge, and the risk profile of making the wrong decision is now increased. Discover the fundamental data, analytical methods and insights needed to locate high-performing sites regardless of the retail industry segment. To optimize doesn’t always mean to grow; it can also mean identifying where to reduce physical investment and drive channel shift strategies. Learn how to make such data-driven retail decisions in the current, complex environment.
Entrepreneurs and investors face a similar dilemma in deploying and operating in economically distressed areas. The Array of Opportunity proffers a model for deploying multiple businesses and leveling-up the opportunity to thrive via tech-enabled operational and built assets.
Retail sales is key sector as retail sales account for ¼ of GDP
Retail prices are under pressure due to many factors like carbon tax or tariffs or other factors.
Benchmark Intelligence is a suite of analytics tools for enterprise location management.
Benchmark makes it easy for enterprises with 100's to 10,000's of locations to monitor the health of their franchises. We also make it easy for enterprises to measure their competitors health as well.
Benchmark does this by programatically accessing all of a franchise’s locations on directories such as Google Maps, Yelp, Foursquare, and Facebook. We are then able to analyze the collected information and distill it into meaningful insights.
With our software it’s easy to identify unlisted locations or locations underperforming the enterprise average. We can even identify problematic regions or franchise owners. Our programmatic access even makes it possible to compare your enterprise’s ratings to your nearest competitors.
Rplus offers analytics solution for retail industry through cloud based DemandSense application and big data analytics platform. Retail companies can leverage data to improving the profitability and efficiency of operations at a low cost in a faster timeframe.
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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.
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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.
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.
1. oxford-partnership.com
Slide 1
OTTS Local: Powerful on-trade data for site specific competitive advantage
New technology for on-trade retailers from The Oxford Partnership
2. oxford-partnership.com2
Introducing OTTS Local – improving site ROI
Whilst outlets may follow identical retail templates their
performance will vary.
Their success is a function of the trading dynamics
of their local market – the number and type of
competing offers and the demand characteristics of
their catchment.
OTTS Local quantifies these dynamics and when
integrated with your own data, provides a powerful
competitive tool; identifying the drivers of performance
and enabling micro-market strategies to be created.
March 2015sharper thinking for retail mapping
3. oxford-partnership.com3
OTTS Local: Bespoke geographic analysis targeting data
March 2015sharper thinking for retail mapping
See the data on Google Maps: Make geospatial data more
accessible so that anyone in your workforce, from the office to the field,
can find it.
Overlay OTTS Local data: To understand the competitive
dynamics of supply and demand within the micro-trading environment
Integrate your data: Incorporate your own data including sales
data, performance data, sales trends, etc.
Your assets: View the location of your assets and their key
commercial metrics
4. oxford-partnership.com4
Building OTTS
March 2015sharper thinking for retail mapping
Base data of 130,000 outlets
Audit outlet websites for
c2,300 offer-specific phrases
OTTS
Catergorise outlets according to
pharase occurence and client aims
Refresh each quarter using both
digital and human resources
5. oxford-partnership.com5
The scale of the OTTS Database – growing eightfold in just 15 months
March 2015sharper thinking for retail mapping
We have collected
data from
95,949
on-trade websites
We have counted
these phrases & words
107,436,256
times
We have audited
4,972,351
web pages
We have collected
39,789,564
key phrases and words
6. oxford-partnership.com6
OTTS Local – Mapping the competitive dynamics of micro-markets
March 2015sharper thinking for retail mapping
Extract OTTS data from the cloud
to YOUR criteria
Map the data | Identify patterns |
Compare & Contrast | Evolve the offer
7. oxford-partnership.com7
Exploiting OTTS Local
March 2015sharper thinking for retail mapping
1. Site acquisition
Identify micro-markets where success can
be replicated or where competing offers
are undifferentiated or outdated.
2. Performance diagnostics
Compare the performance of different
assets and understand how variations in
the profile of competitors and/or the
demographic characteristics of the
catchment are driving these differences
3. Offer development
Identify the scope for extensions to the
core offer – is there scope for a premium
variant of the offer in certain locations, or
for the development of a value
proposition?
4. Micro-Marketing
Create marketing programmes which
reflect the individual competitive
strengths of offer and which better meet
the expectations of local consumers.
8. oxford-partnership.com8 sharper thinking for retail mapping
Demographics
Overview – Key Features
• Unpretentious
• Reasonably good quality
homes on estates
• Over index 46 – 55 yr olds
• Below average income
• Low skilled occupations
• Open to new experiences
• Value shoppers
• Pub visits – 3 times a week
• Deal driven and value
conscious
top_id Web Address Outlet Name PC_out PC_in
Pub
emphasis
Offering
32189 Glass DY8 1EL NA
157981
http://www.jdwetherspoon.co.uk/home/pubs/the-
chequers-inn
The Chequers Inn
(JD Wetherspoon)
DY8 1EQ drink Mainstream
15543 Old Crispin Inn DY8 1LT NA
9901 The Swan Inn DY8 1QH NA
184259 http://www.moochers.co.uk/ Moochers Bar DY8 1PH drink Mainstream
158086
http://www.jdwetherspoon.co.uk/home/pubs/the-
edward-rutland
Edward Rutland DY8 1DX drink Mainstream
58166 http://www.chicagosbars.co.uk Chicago's DY8 1HJ drink Mainstream
207228 http://www.craddocksbrewery.com/find-us/ The Duke William DY8 1EP drink Mainstream
Digital Presence
No web presence except a
Facebook Entry (as a person) with
no external consumer access
(https://www.facebook.com/glass
.stourbridge)
OTTS Local: Example site specific analysis
25%
31%
23%
21%
AB
C1
C2
DE
March 2015
9. oxford-partnership.com9
Accessing OTTS Local – 3 options
Subscription to the service is via an annual contract of
£10,000 per quarter. The database will be customised to
conform to your criteria and definitions
Site specific analysis using generic data can be
conducted at a cost of £50 per site
Data licences for online 24/7 access are available at
£100 to £125 per month according to numbers issued
Analysis and support resources are available as
required at pre-agreed daily rates.
March 2015sharper thinking for retail mapping