There are many dashboarding solutions out there. But how to choose the one that's right for you? Analytics expert, Yves Ferket, shares his experience on how Klifplio compares to other data-viz tools.
The digital transformation of the French OpenIBM Analytics
For decades, IBM and the Fédération Francaise de Tennis have been tennis partners, using real-time analytics as their winning serve to create a cross-platform fan experience. Learn about IBM’s game-changing site redesign for The French Open and platform innovations to enhance the tournament experience for both attendees and virtual fans.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Storing such huge event streams into HDFS or a NoSQL datastore is feasible and not such a challenge anymore. But if you want to be able to react fast, with minimal latency, you can not afford to first store the data and doing the analysis/analytics later. You have to be able to include part of your analytics right after you consume the event streams. Products for doing event processing, such as Oracle Event Processing or Esper, are avaialble for quite a long time and also used to be called Complex Event Processing (CEP). In the last 3 years, another family of products appeared, mostly out of the Big Data Technology space, called Stream Processing or Streaming Analytics. These are mostly open source products/frameworks such as Apache Storm, Spark Streaming, Apache Samza as well as supporting infrastructures such as Apache Kafka. In this talk I will present the theoretical foundations for Event and Stream Processing and present what differences you might find between the more traditional CEP and the more modern Stream Processing solutions and show that a combination of both will bring the most value.
Identifying Users Across Platforms with a Universal ID Webinar SlidesLooker
Before you can dive into any kind of advanced customer behavior analysis, you have to make sure you're counting each user once and only once. This is a surprisingly difficult problem, especially with customer touchpoints across devices. To accurately measure your users, you have to tie identities across anonymous and logged-in sessions, account for when people change their email addresses, and plan for cross-platform interactions. In this webinar, Erin Franz, data analyst from Looker, and Will Johnson, Success Lead at Segment, share signals that you are miscalculating your users and methods for creating a universal user ID.
You can view the webinar at http://www.looker.com/video/identifying-users-with-universal-id
From ICT Event Management to Big Data Management - Roberto Raguseo - Codemoti...Codemotion
Design innovative solutions that work accurately forever is our mission. From ICT Event Management to Big Data Management. Embracing Big Data is fundamental for driving the Digital Transformation of the Industry. Kriu is bringing the experience gained in the ICT Event Management field to the Big Data. Collecting heterogeneous data and providing actionable insights tailored to different stakeholders needs, is our business.
The digital transformation of the French OpenIBM Analytics
For decades, IBM and the Fédération Francaise de Tennis have been tennis partners, using real-time analytics as their winning serve to create a cross-platform fan experience. Learn about IBM’s game-changing site redesign for The French Open and platform innovations to enhance the tournament experience for both attendees and virtual fans.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Storing such huge event streams into HDFS or a NoSQL datastore is feasible and not such a challenge anymore. But if you want to be able to react fast, with minimal latency, you can not afford to first store the data and doing the analysis/analytics later. You have to be able to include part of your analytics right after you consume the event streams. Products for doing event processing, such as Oracle Event Processing or Esper, are avaialble for quite a long time and also used to be called Complex Event Processing (CEP). In the last 3 years, another family of products appeared, mostly out of the Big Data Technology space, called Stream Processing or Streaming Analytics. These are mostly open source products/frameworks such as Apache Storm, Spark Streaming, Apache Samza as well as supporting infrastructures such as Apache Kafka. In this talk I will present the theoretical foundations for Event and Stream Processing and present what differences you might find between the more traditional CEP and the more modern Stream Processing solutions and show that a combination of both will bring the most value.
Identifying Users Across Platforms with a Universal ID Webinar SlidesLooker
Before you can dive into any kind of advanced customer behavior analysis, you have to make sure you're counting each user once and only once. This is a surprisingly difficult problem, especially with customer touchpoints across devices. To accurately measure your users, you have to tie identities across anonymous and logged-in sessions, account for when people change their email addresses, and plan for cross-platform interactions. In this webinar, Erin Franz, data analyst from Looker, and Will Johnson, Success Lead at Segment, share signals that you are miscalculating your users and methods for creating a universal user ID.
You can view the webinar at http://www.looker.com/video/identifying-users-with-universal-id
From ICT Event Management to Big Data Management - Roberto Raguseo - Codemoti...Codemotion
Design innovative solutions that work accurately forever is our mission. From ICT Event Management to Big Data Management. Embracing Big Data is fundamental for driving the Digital Transformation of the Industry. Kriu is bringing the experience gained in the ICT Event Management field to the Big Data. Collecting heterogeneous data and providing actionable insights tailored to different stakeholders needs, is our business.
IoT can be complex and confusing with many definitions often perceived by enterprises. But it's not a futuristic trend because it's already happening and we can start small with existing 'things'.
The Internet of Things powers a new era of innovation that opens new opportunities to re-imagine the future of our city, so city leaders can more proactively address city priorities such as reducing energy consumption, improving public safety, and nurturing innovation and growth.
We issued 20 young coders with smartphones pre-loaded with an app that gathered data on the network activity of the other apps they used. Their data was captured using the Python-based data portal CKAN, analysed with SciKit-Learn, then returned to them using Docker and the Ipython Notebook. Python also played a role in the reverse-engineering of some of the more interesting apps we discovered.
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
• Data Ingestion Capabilities
• Data Ingestion Strategy
• Setting Up the Road Graph on Knowledge Base
• Data Set Load via Data Gate (plus how to load triples into Knowledge base)
• Data Ingestion and Transformation via ETL Processes
• Data Ingestion via IOT Brokers
• IOT Network: recall of basic concepts
• IOT Directory
• IOT Devices and IOT Brokers Registration
• Data Ingestion via IOT Applications
• Data Ingestion from API, External Services, Custom MicroServices
• Data Ingestion via Web Scraping
• Data Streams from Smart City API, participatory
• Data Streams from Mobile Devices
• Data Streams from Dashboards
• GIS Data Import and Export
• Social Media data collection and exploitation
• Acknowledgements
Top eCommerce Retailers & Tech Transformers Global MarketChris Cadden
This report examines the competitive development of the platform business in eCommerce, eTravel and Digital Media: already, the four Chinese major players Baidu, Alibaba, Tencent, and Huawei have achieved impressive figures and are increasingly operating on a global level. In the foreseeable future, the growth of the US big four will be increasingly challenged by their Chinese counterparts. Furthermore, there is no major player from Europe that has comparable reach or impact on the global digital landscape.
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Data is growing exponentially and it’s now possible to mine and unlock insights from data in new and unexpected ways. Empower your business to take advantage of this data by harnessing the rich capabilities of Microsoft SQL Server and the familiarity of Microsoft Office to help organize, analyze, and make sense of your data—no matter the size.
DIGITALIZED WORLD- Technology Disruptions & Future Of Software Test AutomationHCL Technologies
Presented by the Business Assurance and Testing Team from HCL at ISQT's Step-Auto 2014 - Conference on 'Non-Conventional Software Test Automation' in Bangalore (19th and 20th Nov’14).
Keynote Speaker: Prakash Ijral from Test Automation CoE and Testing Practices
The focus areas of the discussion included the significance for organizations to excel in the digital industrial economy in order to become more technologically capable and sophisticated and also the changed role testing specifically test automation will play in the era of digitalization.
Google Opening up to Developers - From 2 to 55 APIs in 3 yearsPatrick Chanezon
Google Opening up to Developers: From 3 to 40 APIs in 2 years
In the past 2 years Google has gone from offering 3 SOAP APIs to its core services, Ads and Search, to more than 40 APIs using various technologies (REST, Ajax, Java) and covering a wide array of developer needs, with 2 main themes: giving developers programmatic access to Google services, and making the web better through standards and open source offerings (GWT, Gears). In 2007 Google started cooperating with other industry players to create new standard platforms in areas where they were needed: OpenSocial for social applications and Android for Mobile. During these 2 years Google has grown a team dedicated to developer relations.
Real-time analytics in IoT by Sam Vanhoutte (@Building The Future 2019)Codit
The number of IoT devices that streams data to a connected cloud backend increases daily. This data creates new possibilities for real-time analytics and can fundamentally change how our world works. In this presentation, you’ll learn how to build an Azure IoT architecture that is ready for real-time data analytics. Sam will demonstrate how data can be ingested and how different Azure technologies can be applied to achieve real-time intelligence. You’ll also discover how Azure Stream Analytics can be used to run streaming queries in the Cloud and on the Edge. By the end of this session you’ll have an understanding on how Azure Time Series Insights works to set up a Real Time data exploration, and you’ll get a glimpse of Azure Databricks for more advanced data analytics scenarios. Finally, you’ll learn how to deploy custom code to detect and act upon events in the data.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
What is going on - Application diagnostics on Azure - TechDays FinlandMaarten Balliauw
We all like building and deploying cloud applications. But what happens once that’s done? How do we know if our application behaves like we expect it to behave? Of course, logging! But how do we get that data off of our machines? How do we sift through a bunch of seemingly meaningless diagnostics? In this session, we’ll look at how we can keep track of our Azure application using structured logging, AppInsights and AppInsights analytics to make all that data more meaningful.
e-Commerce meets Fashion in the "Ticino Fashion Valley" - What's hot in the f...Contactlab
"What's hot in the fashion industry?" presentation by Arianna Galante, Director of Agency Dept., covering facts & figures, consumer segments to watch and implications in terms of communication.
Senior Analytics consultant, Pieter Vanderoost, made an evaluation of the impact of GDPR on digital tracking, 6 months after the 25th of May. What is the impact on your business of the different strategies that can be put to use?
The (digital) world is constantly evolving and consumer expectations change along the way. Digital natives are becoming a bigger and bigger group of active consumers. What do they expect from the (online) shopping experience? Things like a personal approach, a perfect fit for me, always access to feedback and information are becoming commonplace. How can you, as a retailer, respond to these expectations?
IoT can be complex and confusing with many definitions often perceived by enterprises. But it's not a futuristic trend because it's already happening and we can start small with existing 'things'.
The Internet of Things powers a new era of innovation that opens new opportunities to re-imagine the future of our city, so city leaders can more proactively address city priorities such as reducing energy consumption, improving public safety, and nurturing innovation and growth.
We issued 20 young coders with smartphones pre-loaded with an app that gathered data on the network activity of the other apps they used. Their data was captured using the Python-based data portal CKAN, analysed with SciKit-Learn, then returned to them using Docker and the Ipython Notebook. Python also played a role in the reverse-engineering of some of the more interesting apps we discovered.
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
• Data Ingestion Capabilities
• Data Ingestion Strategy
• Setting Up the Road Graph on Knowledge Base
• Data Set Load via Data Gate (plus how to load triples into Knowledge base)
• Data Ingestion and Transformation via ETL Processes
• Data Ingestion via IOT Brokers
• IOT Network: recall of basic concepts
• IOT Directory
• IOT Devices and IOT Brokers Registration
• Data Ingestion via IOT Applications
• Data Ingestion from API, External Services, Custom MicroServices
• Data Ingestion via Web Scraping
• Data Streams from Smart City API, participatory
• Data Streams from Mobile Devices
• Data Streams from Dashboards
• GIS Data Import and Export
• Social Media data collection and exploitation
• Acknowledgements
Top eCommerce Retailers & Tech Transformers Global MarketChris Cadden
This report examines the competitive development of the platform business in eCommerce, eTravel and Digital Media: already, the four Chinese major players Baidu, Alibaba, Tencent, and Huawei have achieved impressive figures and are increasingly operating on a global level. In the foreseeable future, the growth of the US big four will be increasingly challenged by their Chinese counterparts. Furthermore, there is no major player from Europe that has comparable reach or impact on the global digital landscape.
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Data is growing exponentially and it’s now possible to mine and unlock insights from data in new and unexpected ways. Empower your business to take advantage of this data by harnessing the rich capabilities of Microsoft SQL Server and the familiarity of Microsoft Office to help organize, analyze, and make sense of your data—no matter the size.
DIGITALIZED WORLD- Technology Disruptions & Future Of Software Test AutomationHCL Technologies
Presented by the Business Assurance and Testing Team from HCL at ISQT's Step-Auto 2014 - Conference on 'Non-Conventional Software Test Automation' in Bangalore (19th and 20th Nov’14).
Keynote Speaker: Prakash Ijral from Test Automation CoE and Testing Practices
The focus areas of the discussion included the significance for organizations to excel in the digital industrial economy in order to become more technologically capable and sophisticated and also the changed role testing specifically test automation will play in the era of digitalization.
Google Opening up to Developers - From 2 to 55 APIs in 3 yearsPatrick Chanezon
Google Opening up to Developers: From 3 to 40 APIs in 2 years
In the past 2 years Google has gone from offering 3 SOAP APIs to its core services, Ads and Search, to more than 40 APIs using various technologies (REST, Ajax, Java) and covering a wide array of developer needs, with 2 main themes: giving developers programmatic access to Google services, and making the web better through standards and open source offerings (GWT, Gears). In 2007 Google started cooperating with other industry players to create new standard platforms in areas where they were needed: OpenSocial for social applications and Android for Mobile. During these 2 years Google has grown a team dedicated to developer relations.
Real-time analytics in IoT by Sam Vanhoutte (@Building The Future 2019)Codit
The number of IoT devices that streams data to a connected cloud backend increases daily. This data creates new possibilities for real-time analytics and can fundamentally change how our world works. In this presentation, you’ll learn how to build an Azure IoT architecture that is ready for real-time data analytics. Sam will demonstrate how data can be ingested and how different Azure technologies can be applied to achieve real-time intelligence. You’ll also discover how Azure Stream Analytics can be used to run streaming queries in the Cloud and on the Edge. By the end of this session you’ll have an understanding on how Azure Time Series Insights works to set up a Real Time data exploration, and you’ll get a glimpse of Azure Databricks for more advanced data analytics scenarios. Finally, you’ll learn how to deploy custom code to detect and act upon events in the data.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
What is going on - Application diagnostics on Azure - TechDays FinlandMaarten Balliauw
We all like building and deploying cloud applications. But what happens once that’s done? How do we know if our application behaves like we expect it to behave? Of course, logging! But how do we get that data off of our machines? How do we sift through a bunch of seemingly meaningless diagnostics? In this session, we’ll look at how we can keep track of our Azure application using structured logging, AppInsights and AppInsights analytics to make all that data more meaningful.
e-Commerce meets Fashion in the "Ticino Fashion Valley" - What's hot in the f...Contactlab
"What's hot in the fashion industry?" presentation by Arianna Galante, Director of Agency Dept., covering facts & figures, consumer segments to watch and implications in terms of communication.
Similar to Klipfolio - Your Swiss Knife on data (20)
Senior Analytics consultant, Pieter Vanderoost, made an evaluation of the impact of GDPR on digital tracking, 6 months after the 25th of May. What is the impact on your business of the different strategies that can be put to use?
The (digital) world is constantly evolving and consumer expectations change along the way. Digital natives are becoming a bigger and bigger group of active consumers. What do they expect from the (online) shopping experience? Things like a personal approach, a perfect fit for me, always access to feedback and information are becoming commonplace. How can you, as a retailer, respond to these expectations?
Why the "web analytics guy" is your key to digital leadershipHumix
Your company’s ambition is to become a digital leader, but despite big strategic plans and multiple innovation initiatives, nothing really changes. Decisions are still not based upon data. The user experience remains flawed. And IT and marketing are on non-speaking terms.
Sounds familiar? Jente presented at DigitalFirst 2017, a tested and proven framework for digital data that overcomes these barriers in enterprise environments. Discover how a sound approach to your data can pave the way for personalized user experiences and automated marketing initiatives.
Discover the full potential of Google Analytics by customizing the standard reporting. Web analyst Jente De Ridder shares creative use cases of Google Analytics for ecommerce websites. Slide deck presented on Meet Magento Belgium 2017.
Stop collecting data just for the fun of it, start collecting data to really improve your business. Think about what you want to know and collect the data you need so your can finally start taking data-driven decisions.
Not only consumers deserve a good User Experience, internal and B2B customers want the same. We explain how to make CRM applications more user centred.
Stay clear from report monkeys when making data driven decisionsHumix
Take a look at your current role and ask yourself: are you considered as a Report Monkey or an important strategic advisor? Are you impacting the organisation or are you just creating a ton of Excels and PowerPoints?
Working as analytics consultants, Yves and Jente have experienced the frustrations that live within organisations when it comes to data. More than often, they encountered a huge gap between the ambition of being a data-driven organisation and the day-to-day reality.
During this presentation they shared their learnings on how you, as an analyst, can change how you’re working in order to affect a change within the organisation. Discover how to gain the respect of your internal stakeholders and put yourself out there as an authority.
The recent months new possibilities have been added to Google Adwords. In this presentation we show you what has changed and how this can benefit your campaigns. We also provide you with some tips on how to improve your new and existing campaigns.
After the introduction of Enhanced E-commerce by Google a lot has changed and new tracking possibilities came available. In this presentation we show what's new, what's possible and what the benefits can be for your webshop.
The internet keeps on changing and human behavior adjusts itself. We discuss some changes in online user behavior that influence the way websites , webshops and even offline physical shops should work and present themselves.
How different are online shoppers compared with off-line shoppers?
Lonneke Spinhof, senior UX consultant, presents the results from a study on online shopping behavior. Discover some interesting insights on the search and selection process that online consumers go trough.
Presentation from Lonneke Spinhof for the Humix Session on 5/11/2013. Would you like to join our next free Humix Session? Please subscribe to our newsletter: http://www.humix.be/nl/Humix-Session-keep-me-posted
Company dashboards can be very useful to boost your productivity. Stop spending hours going trough all the different data sources, but benefit from a centralized overview.
In this presentation Jente De Ridder, web analyst at Humix, walks you trough the 6 steps in setting up a dashboard. No matter if your planning an executive, marketing, sales or technical dashboard. Discover which options you can consider and what pitfalls to look for.
Presentation from Jente De Ridder for the Humix Session on 5/11/2013. Would you like to join our next free Humix Session? Please subscribe to our newsletter: http://www.humix.be/nl/Humix-Session-keep-me-posted
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.
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.”
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.
14. 14
Real World Example (Olympus Camera’s)
SAP
01
02
03
04
05
06
07
PC
Central Broadcasting
Chrome
Browser 01
HTML pages
Chrome
Browser 02
HTML pages
Team 01
Dash screen
Team 02
Dash screen
Chromecast
02
Chromecast
01
Wifi
(No user-
password)
23. 01: Get access
Create an admin user on social
accounts
02: Create Queries
Connect to the API of the
platforms and get the data
03: Data Sources
The data is stored & refreshed
in the Klipfolio cloud on given
time intervals (hourly, Daily,..)
04: Calculations
Create formulas to calculate
the data you need
05: Visualize
Pick & design the right
graphic to display the data
25. 25
2: Slice & Dice: the editor
Component Tree
components and their
sub-components
Workspace Panels
use the Workspace
Panels to make
changes
Klip Preview
where you can see
your Klip and the
edits
Components Palette
all the components you
can add to a Klip
27. 27
4: Highloght, Automate & share your Data
Highlight with Indicators
Highlight highs, lows, changes
Build Human Sentences
Create a “human sentence” with “IF” statements.
“This current week (Data-Week) Total (gaMetric)
count is (MetricCount) is
IF(MetricCount<MetricCountPrev,”lower”,”higher”)
…& Share
To: users, user groups
By: E-mail, PDF, Slack, Links, TV’s
When: One time, automated, scheduled,...
35. Toerisme Oostende
A People counter:
The City of Ostend counts GSM signals, to
keep an overview on traffic,and see which
events are a success.
This data is mixed with weather data and a
Google Calendar:
Was it the bad weather that influenced? Did
the Red devils play a match?
CityTraffic Counters with REST URL - Google
Calendar - Open Weather Data by API
36. Toerisme Oostende
A User Driven Dashboard on a shoestring:
Event Organisers and Hotel Owners input
their data by a simple Google Form on a
Monthly basis. The owners get a mail with a
direct input link an a security code.
Google Sheets - Google Forms - MailChimp
42. Toerisme Vlaanderen
A Social Post evaluator:
Compare posts from different international
accounts to a benchmark: What posts
perform well?
FacebookInsights-Google Sheets-SuperMetrics