Calligo https://www.calligo.io/ Building value through data Wed, 02 Jul 2025 21:04:08 +0000 en-GB hourly 1 https://wordpress.org/?v=6.9.4 Announcing the Strategic Partnership Between Supermetrics & Calligo https://www.calligo.io/insights/news/supermetrics-and-calligo/ Thu, 23 Jan 2025 18:08:19 +0000 https://www.calligo.io/?p=5625 Announcing the strategic partnership between Supermetrics & Calligo! Marketing insights and advanced analytics in the palm of your hand!

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Partnership announcement

We’re excited to announce a strategic partnership between Supermetrics, a global leader in marketing data aggregation, and Calligo. This collaboration combines Supermetrics’ robust data aggregation capabilities with Calligo’s expertise in designing advanced analytics ecosystems. Together, we’re poised to deliver end-to-end solutions that simplify data-driven decision-making, drive efficiency, and empower businesses to achieve smarter marketing outcomes.

Who is Supermetrics?

Supermetrics is the leading Marketing Intelligence Platform for agencies and brands that allows you to connect, manage, analyze, and activate your data.

Founded in 2010 by Mikael Thuneberg in Helsinki, Finland, Supermetrics started with a simple goal: to make marketing data more accessible and actionable for everyone. Today, the platform empowers over 200K organizations worldwide, including top brands like Nestlé, Warner Bros, and Dyson, by seamlessly connecting, managing, analyzing, and activating their data.

Supermetrics simplifies the complexities of data management by offering prebuilt and custom data pipelines that centralize data from more than 150 marketing and sales platforms. Whether it’s Google Analytics, Facebook Ads, HubSpot, or offline sources, Supermetrics brings all your marketing data together in one place—your preferred reporting, analytics, or storage tools.

With intuitive, no-code data management apps, Supermetrics helps users blend, enrich, and customize data for unique needs. From creating automated reports in Excel and Google Sheets to advanced visualizations in Power BI or Looker Studio, the platform enables teams to transform data into insights that drive impactful business decisions.

Trusted by organizations in 120+ countries, Supermetrics processes over 15% of global marketing data, delivering measurable improvements like increased marketing efficiency, higher conversion rates, and reduced costs. Its pioneering approach has earned recognition, including being named one of G2’s Top 50 Best EMEA Software Companies for 2024.

At its core, Supermetrics is committed to innovation, transparency, and customer success. As the marketing landscape evolves, Supermetrics continues to scale with its clients, ensuring they have the tools and data intelligence needed to grow.

For more information about their journey, products, and vision for the future, visit supermetrics.com

Key Benefits of Supermetrics:

  • Get data from anywhere, instantly with integrations for 150+ sources
  • Edit, manage, blend, enrich, and store your marketing data all in one place
  • Use the reporting tools you love to analyze, visualize and report on your data
  • Turn your marketing intelligence into action
Summary of Supermetrics platform and services

Why partner?

We’ve been working with Supermetrics and their customers for the last few years to build reporting and analytics solutions. Our consultancy is a natural partner for Supermetrics and helps to fill the technical gap that many companies have in working with their data. Our solutions have helped customers to understand and measure the value of their marketing programs and ultimately drive better decision-making and transparency.

Partnering with Supermetrics helps us to accomplish our mission to design and build analytics ecosystems that deliver the best outcomes for our customers.

“From the early days of implementation, Supermetrics brought in a partner, Calligo, who are very good. They’re very knowledgeable on the systems and the culture of working with Supermetrics and Calligo is great. Supermetrics’ willingness to listen and collaborate is invaluable. The product is great but the people and partnership is so important.”

Simon Barks
Director of Analytics
McCann Central

Why This Partnership Matters

The Modern Marketing Data Challenge

Today’s marketing teams face a common problem: fragmented data scattered across multiple platforms. This results in data silos, inconsistent reporting, and difficulties in uncovering meaningful insights. Without a streamlined data pipeline, marketing strategies risk being reactive rather than proactive or even entirely unsuccessful.

Key Outcomes:

Key outcomes of the Supermetrics x Calligo partnership

A Unified Solution: Supermetrics + Calligo

This partnership bridges the gap between data aggregation and actionable insights.

  • Supermetrics handles the heavy lifting of collecting and consolidating data from diverse sources.
  • Calligo builds the database structure and analysis tools to derive strategic insights from the aggregated data.

Together, we offer businesses a powerful combination: a seamless data flow that transforms raw data into a roadmap for smarter marketing strategies.

Supermetrics Meets Calligo’s Analytics Ecosystem

The Data Flow Explained

At a high level, here’s how the integration works:

  1. Data Collection: Supermetrics pulls marketing data from platforms like Google Ads, Facebook Ads, Bing, Meta, Google Analytics 4 and many more.
  2. Data Centralization: The aggregated data is seamlessly transferred to your analytics ecosystem or one hosted by Calligo.
  3. Data Transformation: Calligo’s data engineers process and prepare the data for analysis and interpretation.
  4. Actionable Insights: Reports give you immediate insights into how your marketing efforts are performing.
  5. Machine Learning: Machine learning models and analytics workflows generate insights that drive strategic decisions.
Supermetrics x Calligo Dataflow Diagram. From source to analytics.

This streamlined pipeline eliminates bottlenecks and ensures marketing teams have access to up-to-date, reliable insights. New insights generated by Machine Learning are automatically fed back into analytics ecosystem and surfaced in the reports.

Real-World Benefits for Businesses

Businesses leveraging this partnership can expect:

  • Multi-channel campaign analysis
  • Improved customer segmentation and targeting
  • Real-time performance dashboards
  • Predictive analytics for marketing ROI optimization

This integration isn’t just about improving workflows—it’s about driving measurable results.

Looking Ahead – Advanced Insights with Machine Learning

The future of marketing analytics lies in machine learning and predictive analytics. With Calligo’s expertise in machine learning workflows and Supermetrics’ data aggregation capabilities, businesses can unlock deeper insights:

  • Predict Campaign Performance: Anticipate campaign outcomes before launch.
  • Optimize Marketing Spend: Automatically identify high-performing channels.
  • Customer Behavior Insights: Gain granular insights into audience preferences and behaviors.

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Demystifying EU Regulations: DORA and NIS2 – What They Mean for Your Business https://www.calligo.io/insights/blog/demystifying-eu-regulations-dora-and-nis2-what-they-mean-for-your-business/ Fri, 29 Nov 2024 09:50:13 +0000 https://www.calligo.io/?p=5575 Ahead of the EU’s Digital Operational Resilience Act (DORA) coming into force on 17th January 2025, and on the back of the updated Network and Information Security Directive (NIS2) coming into effect from 17th October of this year, organisations across Europe are scrambling to understand what these regulations mean for them. The initial reaction from […]

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Ahead of the EU’s Digital Operational Resilience Act (DORA) coming into force on 17th January 2025, and on the back of the updated Network and Information Security Directive (NIS2) coming into effect from 17th October of this year, organisations across Europe are scrambling to understand what these regulations mean for them. The initial reaction from many businesses is one of concern, and understandably so, non-compliance can lead to significant penalties and reputational damage. However, the reality is less daunting than it might appear.

For businesses already aligned with robust frameworks like ISO 27001, compliance with these new regulations will require only incremental changes to existing controls. In most cases, the focus will be on areas such as incident reporting and ensuring processes meet the specific requirements outlined in DORA and NIS2. Let’s break this down.

What Are DORA and NIS2?

DORA:

DORA aims to ensure the operational resilience of financial institutions by requiring them to prepare for, withstand, recover from, and adapt to disruptions. While its primary focus is on financial entities such as banks, investment firms, and payment providers, it also applies to their critical third-party providers, such as:

  • IT service providers offering cloud computing, data storage, or disaster recovery solutions.
  • Managed Service Providers (MSPs) delivering IT or cybersecurity support to financial institutions.
  • Outsourced service providers providing software, analytics, or operational support.

If you support the financial sector with technology or operational services, DORA’s requirements likely extend to your organisation.

NIS2:

NIS2 expands on the original NIS Directive, introducing stricter cybersecurity requirements for a broader range of industries providing critical or essential services. The affected organizations fall into two main categories:

  1. Essential Entities:
    • Energy providers, such as electricity, oil, and gas suppliers.
    • Transportation and logistics companies.
    • Public healthcare services, including hospitals and clinics.
    • Digital infrastructure providers, such as data centers and DNS providers.
  2. Important Entities:
    • IT service providers, including MSPs and cybersecurity firms.
    • Manufacturers critical to supply chains.
    • Providers of food and water supply systems.
    • Postal and courier services.

Even if you’re outside the EU, your compliance might still be necessary if you provide services to EU-based businesses.

Why ISO 27001 Provides a Strong Foundation

ISO 27001, the internationally recognised standard for information security management, provides the fundamental building blocks for compliance. It ensures:

  1. Risk-based thinking: Organisations identify and address risks relevant to their business and industry.
  2. Established processes: Controls for access management, incident response, and vendor oversight are already in place.
  3. Continuous improvement: A cycle of regular reviews ensures security evolves as threats do.

If your business is ISO 27001 certified, much of the heavy lifting for DORA and NIS2 compliance is already done. The key will be reviewing your existing controls and making necessary adjustments to align with specific regulatory requirements, such as:

  • Enhancing incident response times and reporting procedures.
  • Documenting third-party risk assessments more comprehensively.
  • Testing operational resilience through more frequent simulations.

A Simple Process for DORA and NIS2 Compliance

To streamline your compliance efforts, we recommend the following steps:

  1. Understand the Requirements: Review the text of DORA and NIS2 to understand how they apply to your business. Focus on operational resilience, incident reporting, and supply chain security.
  2. Gap Assessment: Conduct a gap analysis against your existing frameworks and controls. Identify where your current controls meet the requirements and where enhancements are needed.
  3. Update Policies and Procedures: Tweak your incident management, third-party risk, and operational resilience plans to align with the regulations. Ensure documentation is thorough and up to date.
  4. Test Your Controls: Conduct tabletop exercises, simulate incidents, and test your business continuity and disaster recovery plans to ensure operational resilience.
  5. Train Your Teams: Educate your staff about the new requirements, focusing on the importance of timely incident reporting and robust cyber resilience.

Compliance Without the Stress

The key message is this: compliance with DORA and NIS2 should not feel like starting from scratch. If your organisation has invested in frameworks like ISO 27001, or similar, you’re likely already well on your way to meeting these new standards. The focus should be on fine-tuning your existing processes rather than overhauling them entirely.

At Calligo, we specialise in helping businesses navigate complex regulatory landscapes, including DORA and NIS2. Whether you need a gap assessment, guidance on updating your controls, or help training your teams, our experts are here to support you.

Ready to simplify your compliance journey? Contact us today to learn how we can help you turn regulatory challenges into opportunities for strengthening your cybersecurity and operational resilience.

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Requirements Gathering for Analytics Projects https://www.calligo.io/insights/glossary/requirements-gathering-for-data-analytics-projects/ Wed, 04 Sep 2024 12:42:47 +0000 https://www.calligo.io/?p=5500 Introduction  Behind every impactful dashboard you’ve ever seen is a well put together plan and an understanding of the objective in creating the tool. It does not matter if the dashboard is being used in a business context or to tell an interesting data story – any successful dashboard requires meticulous planning and an understanding […]

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Introduction 

Behind every impactful dashboard you’ve ever seen is a well put together plan and an understanding of the objective in creating the tool. It does not matter if the dashboard is being used in a business context or to tell an interesting data story – any successful dashboard requires meticulous planning and an understanding of the underlying data paired with foundational data literacy skills. Regardless of what you’re building and who it is being built for, effective requirements gathering will generally lead to greater efficiency in development and greater user satisfaction. 

Requirements gathering is not a novel concept, but it’s not common either. Individuals and organizations often forgo the process under the misconception that they’re saving time. The reality is that not investing this time upfront leads to inefficiencies down the road, and those inefficiencies can be multitudes greater than the time it would have taken to effectively gather requirements prior to starting development. Multiple rounds of feedback, unsatisfied end users, and dashboards that receive little to no usage after going live are, unfortunately, staples of the analytics world today.  

The good news is that it doesn’t have to be this way. With an understanding of how to gather requirements plus the knowledge of why it is such a crucial step, you’ll be able to gain buy-in from stakeholders and deliver excellent, meaningful analytics products to end users.  

What is Requirements Gathering? 

When aiming to understand what requirements gathering is, it’s important to start by understanding what it is not. There are numerous strategies that attempt to mimic the process of gathering requirements, so let’s address a few of the most common: 

  • A single ticket submitted to an IT/analytics team – teams that service multiple parts of the organization often set up a ticketing system to elicit requirements and requests from end users. The problem is that teams often begin development immediately after receiving a ticket that often has limited information. The result is many hours or days that have been sunk into the development of a tool that is built on assumptions and has little chance of exciting users, or even meeting their needs, when it’s released. This is not an indictment of ticketing systems – in fact, ticketing systems are a great way to organize workstreams and manage a high volume of stakeholders, but it’s essential to move into a structured requirements gathering exercise as the first step after receiving a request. 
  • Technical requirements without business context – requirements gathering is meant to be a thorough, holistic approach to understanding what is being built and why. A common trap that developers fall into is believing that they only need to elicit the technical aspects of what they’re building. They see themselves as strictly technical resources, their stakeholders as strictly business-focused contributors, and they don’t bridge the gap between the two parties. A collaborative approach with buy-in from both sides to solve the business problem is key in requirements gathering. Empathy, curiosity, and an ability to step outside of the technical development world are essential skills to practice. 
  • Defining requirements for others – it should be stated that imagining what others need and developing products for them based on those gut feelings is not an effective way to work with end users. 

So, we know what does not constitute effective requirements gathering, but the real question is: how do we ensure that we go through this process and come out with the necessary information? Requirements gathering can be messy; it can and should result in jumbles of notes, ink smeared whiteboards, and a feeling of renewed energy for the design and development phase of the project. A lot of information will come up during these 1–2-hour sessions, but the following 4 focus areas will help structure your time: 

  • Determine the objective – drill into the “why” behind what is being built. It’s perfectly acceptable to start a requirements gathering session by asking the question, “why are we building this?” The idea is to drill into the business problem that we’re hoping to solve, and to understand how we plan to solve that. Ideally, we can create an objective statement that is measurable, then work backwards to understand how a specific tool or technology will accomplish that goal. 
  • Define the audience – aside from the overall objective, the most important consideration is the audience. Understanding who will use the tool, how and when they will use it, and their general ability to use analytics products are essential pieces of knowledge when considering design and deployment. The end goal is the ability to create specific user stories that can be used to guide the design and development of the tool in order to drive the greatest adoption. 
  • Outline priority questions – this is the time to dive into specific metrics and dimensions related to the data that will be utilized for the project. This information will be used to guide the design of individual visualizations and it is likely that you’ll map specific questions to specific visuals as you move into the design phase. Questions such as “How do each of my sales regions and the salespeople within them rank amongst one another by total volume sold?” represent the level of detail desired when drilling into priority questions. 
  • Document dashboard features/other details – lastly, we want to document any special functionality requests. Often times, users will be expecting certain features that they have seen from other tools, or that they have been imagining as valuable for the tool you are building. Think about filters, sorting, data exports, printer-friendly concepts for those paper lovers. These items can be make or break for users; spend time identifying those needs so you can plan to integrate them into the product. 

Final Thoughts 

Remember that requirements gathering is inherently social and requires a deep level of curiosity. It should be collaborative – stakeholders need to be involved and to feel that they’re involved. This isn’t just about soliciting requirements – it’s about gaining buy-in from end users and having them know that they played a crucial role in developing the end product. By defining the objective, audience, priority questions, and key functionality in collaboration with your stakeholders, you will be well equipped to move into the design phase of your project.  

Lastly, it is important to understand when requirements gathering has concluded. In an effort to provide clarity around when we have reached that point, formal documentation is passed to stakeholders and their sign-off is requested. By seeing the requirements formalized and delivered, you and your stakeholders will know that milestone has been completed, and that content will now be used to guide the design of the product. See below for a template that you can use next time you engage in requirements gathering.


REQUIREMENTS DOCUMENT TEMPLATE 

<Dashboard Name> 

<Date> 

PROBLEM STATEMENT 

<What are the client’s pain points? Why do they need this dashboard? Why have they come to us?> 

OBJECTIVE OF DASHBOARD 

<What is the business value of the dashboard? Does it help improve revenue? Does it highlight costs that can be reduced? Does it tell the story of an organization’s efforts? Does it increase employee retention?> 

AUDIENCE & USAGE 

<Description of section> 

  • Who will use the new dashboard 
  • Outline permissions 
  • When it will be used 
  • How often it will be updated 
  • Any subscriptions should be mentioned here 
  • Security features 
  • How it will be distributed & shared 

BUSINESS QUESTIONS & ACTIONS 

<Description of section> 

Question Action / Purpose 
Business Question 1 What will the answer to this question drive/result in? 
Ex. [Which customers have purchased one product, but not the other? What are these customers’ phone numbers?] Ex. [This allows our sales reps to telephone the customers who are most likely to purchase additional products] 
  
  
  
  
  

DASHBOARD SPECIFICS 

  • Date range of the data 
  • Filters 
  • Etc. 

QUESTIONS 

  • List any outstanding questions here 

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Return on Investment Vs Level of Effort https://www.calligo.io/insights/data-visualization-portfolio/return-on-investment-vs-level-of-effort/ https://www.calligo.io/insights/data-visualization-portfolio/return-on-investment-vs-level-of-effort/#respond Wed, 05 Jun 2024 08:26:00 +0000 https://www.calligo.io/?p=5393 The post Return on Investment Vs Level of Effort appeared first on Calligo.

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Machine Learning Usecase Assessment Tool

Understand which use cases for Machine Learning work best for your organization

Select the desired industry Vertical or Department and use our unique ROI tool to identify the most cost effective applications for machine learning in your organization.

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Introducing Calligo’s New Cybersecurity Risk Assessment Tool https://www.calligo.io/insights/glossary/introducing-calligos-new-cybersecurity-risk-assessment-tool/ Tue, 21 May 2024 10:22:21 +0000 https://www.calligo.io/?p=5325 In today’s evolving digital landscape, understanding and mitigating cybersecurity risks are paramount. With cyber threats becoming increasingly sophisticated, organizations need robust frameworks to protect their assets and ensure operational continuity. This is where the NIST Framework 2.0 comes into play. Developed by the National Institute of Standards and Technology (NIST), this framework provides a comprehensive […]

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In today’s evolving digital landscape, understanding and mitigating cybersecurity risks are paramount. With cyber threats becoming increasingly sophisticated, organizations need robust frameworks to protect their assets and ensure operational continuity. This is where the NIST Framework 2.0 comes into play. Developed by the National Institute of Standards and Technology (NIST), this framework provides a comprehensive approach to managing and mitigating cybersecurity risks, and we at Calligo are excited to announce the launch of our new Cybersecurity Risk Assessment tool that leverages this powerful framework.

What’s New in the NIST Framework 2.0?

The NIST Cybersecurity Framework 2.0 builds upon its predecessor, enhancing its usability and effectiveness. Here are some key updates:

  1. Expanded Framework Core: The Core now includes additional categories and subcategories to address emerging risks and technologies, providing a more detailed roadmap for cybersecurity practices.
  2. Improved Governance: Emphasizing the importance of governance, the updated framework incorporates a new “Govern” function. This function establishes an enterprise risk management strategy, highlighting roles, responsibilities, policies, procedures, and oversight necessary for effective cybersecurity management.
  3. Enhanced Implementation Guidance: With more detailed implementation examples, the Framework 2.0 helps organizations of all sizes and industries apply the core principles in practical, actionable ways.
  4. Greater Emphasis on Supply Chain Risk Management: Recognizing the growing interdependence of organizations, the framework includes more robust guidelines for managing supply chain cybersecurity risks.

Why Use Calligo’s Cybersecurity Risk Assessment Tool?

At Calligo, we understand that maintaining a strong cybersecurity posture is critical for the success and security of any organization. Our new Cybersecurity Risk Assessment tool is designed to help you navigate the complexities of cybersecurity using the NIST Framework 2.0. Here’s why you should take advantage of our free, comprehensive tool:

  1. Identify Vulnerabilities: Our tool uses the structured methodology of the NIST Framework 2.0 to help you identify gaps and vulnerabilities in your current cybersecurity posture.
  2. Prioritize Resources: By mapping out your cybersecurity landscape, our tool assists in prioritizing resources and efforts where they are needed most, ensuring you make the most impactful improvements.
  3. Implement Effective Controls: With detailed insights and actionable recommendations, our tool helps you implement effective controls to mitigate identified risks and enhance your overall cybersecurity defenses.
  4. Align with Best Practices: Leveraging the latest NIST guidelines, our tool ensures that your cybersecurity practices are aligned with industry standards and best practices, giving you confidence in your security measures.
  5. Facilitate Decision-Making: The new Govern function in the NIST Framework 2.0 is integral to our tool, aiding in the establishment of a comprehensive risk management strategy. This helps in making informed decisions and enhancing accountability and efficiency within your organization.

Get Started Today

In a world where cyber threats are ever-evolving, it is crucial to stay ahead with the right tools and strategies. Calligo’s new Cybersecurity Risk Assessment tool is free to use and provides a comprehensive evaluation of your organization’s cybersecurity posture based on the latest NIST Framework 2.0.

Take the first step towards a more secure future. Visit our website to access the tool and start identifying and mitigating your cybersecurity risks today. With Calligo by your side, you can confidently navigate the digital landscape and protect what matters most.


For more comprehensive insights into our cybersecurity packages, visit https://www.calligo.io

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Tawni Rickey – A Rising Star In The BMX World https://www.calligo.io/insights/news/csr-tawni-rickey-rising-star-bmx-sponsorship/ https://www.calligo.io/insights/news/csr-tawni-rickey-rising-star-bmx-sponsorship/#respond Wed, 27 Mar 2024 14:42:28 +0000 https://www.calligo.io/?p=5221 Calligo is proud to be sponsoring Tawni Rickey, a rising star in the BMX world. Tawni’s journey began in 2008 at the tender age of 3, riding her little 16” Haro Mirra 360. Since then, she has demonstrated unwavering dedication and passion for the sport, evolving from a young rider to a formidable force on […]

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Calligo is proud to be sponsoring Tawni Rickey, a rising star in the BMX world. Tawni’s journey began in 2008 at the tender age of 3, riding her little 16” Haro Mirra 360. Since then, she has demonstrated unwavering dedication and passion for the sport, evolving from a young rider to a formidable force on the track.

However, Tawni’s BMX journey transcends mere competition; it embodies resilience, determination, and the ability to overcome challenges. Throughout the trials of the COVID-19 pandemic, Tawni found solace and strength on her bike, utilizing it as a tool to bolster her confidence and self-worth. From confronting bullies to dominating tracks, Tawni’s story serves as an inspiration of empowerment.

As Tawni prepares for the upcoming season, Calligo is privileged to stand alongside her as a sponsor. Whether at local events, official USA BMX national races, or the prestigious UCI Worlds, Tawni will proudly display our brand logo on her jersey as she competes alongside some of the industry’s finest. We firmly believe in Tawni’s potential and are thrilled to be a part of her journey as she continues to ascend to new heights.

Our sponsorship of Tawni Rickey is not just about supporting her athletic endeavors; it’s about championing her as a role model for young girls in sport, and resilience and determination she has shown throughout her BMXing career. Through our partnership, we aim to amplify her message of empowerment and inspire others to pursue their passions relentlessly.

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Calligo Shortlisted in three separate categories at the 2024 British Data Awards https://www.calligo.io/insights/news/calligo-shortlisted-for-british-data-awards-2024/ https://www.calligo.io/insights/news/calligo-shortlisted-for-british-data-awards-2024/#respond Tue, 19 Mar 2024 15:49:54 +0000 https://www.calligo.io/?p=5198 We are thrilled to share that Calligo has been shortlisted in THREE prestigious categories at the 2024 British Data Awards: Data Vendor of the YearData for Good Consulting Initiative of the YearAI Company of the Year. This recognition highlights Calligo’s tireless dedication to driving data innovation and making a positive impact for our customers. It’s […]

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We are thrilled to share that Calligo has been shortlisted in THREE prestigious categories at the 2024 British Data Awards:

Data Vendor of the Year
Data for Good Consulting Initiative of the Year
AI Company of the Year.

This recognition highlights Calligo’s tireless dedication to driving data innovation and making a positive impact for our customers.

It’s incredibly gratifying to see our amazing team’s efforts being acknowledged on such a grand stage.

Looking forward to the ceremony on May 8th in London! Stay tuned for more updates.

The shortlist can be viewed here

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Component Replacement & Repair Predictiveness https://www.calligo.io/insights/data-visualization-portfolio/component-replacement-repair-predictiveness/ https://www.calligo.io/insights/data-visualization-portfolio/component-replacement-repair-predictiveness/#respond Mon, 18 Mar 2024 13:39:55 +0000 https://www.calligo.io/?p=5195 The post Component Replacement & Repair Predictiveness appeared first on Calligo.

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Component Replacement Optimization in the Manufacturing Sector

Keeping the repair process fast and efficient using Machine Learning and Advanced Analytics

Using constantly updated supplier data and historical data from their own repairs, we used a predictive data science model to help this manufacturer identify circuit board components that are most likely to have been incorrectly installed based on the fault presented.

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Art + Data ebook https://www.calligo.io/insights/uncategorised/art-plus-data-ebook/ Thu, 14 Mar 2024 09:18:35 +0000 https://www.calligo.io/?p=5185 The importance of data visualization is simple; it helps people visualize, engage with, and better understand data. Powerful data storytelling can: • Give your data an accurate context• Make it readily intelligible, comprehensible and interrogable• Free your data, putting it in the hands of the users who need it Get these right and you turn […]

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The importance of data visualization is simple; it helps people visualize, engage with, and better understand data. Powerful data storytelling can:

• Give your data an accurate context
• Make it readily intelligible, comprehensible and interrogable
• Free your data, putting it in the hands of the users who need it

Get these right and you turn data from being latent and underused into a genuine asset that can redefine your performance,
objectives and strategy. This is what this book aims to show.

These visualizations are examples of how raw data sources can be transformed into data stories. They show how even the most functional business operations, or the most complex, dense and changeable datasets can be presented attractively and usefully.

We hope that these 20 examples will inspire you to what could – and should – be possible with your data.


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Navigating the EU’s proposed Artificial Intelligence Act: What Organisations Need to Know https://www.calligo.io/insights/glossary/eu-proposed-artificial-intelligence-act/ Tue, 12 Mar 2024 15:12:23 +0000 https://www.calligo.io/?p=5181 The EU AI Act (the “AI Act”) is the world’s first comprehensive AI law. The Act lays down a harmonised legal framework for the development, supply, and use of AI products and services in the EU.   To whom does the AI Act apply?  The legal framework will apply to all AI systems impacting people […]

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The EU AI Act (the “AI Act”) is the world’s first comprehensive AI law. The Act lays down a harmonised legal framework for the development, supply, and use of AI products and services in the EU.  

To whom does the AI Act apply? 

The legal framework will apply to all AI systems impacting people in the EU, regardless of where systems are developed or deployed. 

When will the AI Act take effect? 

The AI Act is currently expected to enter into force in Q2-Q3 2024, with different obligations then taking effect in stages. 

Understanding the  AI Act’s Objectives 

The draft AI Act seeks to achieve a set of specific objectives:  

  • Ensuring that AI systems placed on the EU market are safe and respect existing EU law; 
  • Ensuring legal certainty to facilitate investment and innovation in AI; 
  • Enhancing governance and effective enforcement of EU law on fundamental rights and safety requirements applicable to AI systems; and  
  • Facilitating the development of a single market for lawful, safe, and trustworthy AI applications and preventing market fragmentation.  

AI Act: different rules for different risk levels 

The new rules establish obligations for providers and users depending on the level of risk from artificial intelligence. While many AI systems pose minimal risk, they need to be assessed. 

 
1. Unacceptable risk 

Unacceptable risk AI systems are systems considered a threat to people and will be banned.  

They include: 

  • Cognitive behavioural manipulation of people or specific vulnerable groups: for example, voice-activated toys that encourage dangerous behaviour in children. 
  • Social scoring: classifying people based on behaviour, socio-economic status, or personal characteristics. 
  • Biometric identification and categorisation of people. 
  • Real-time and remote biometric identification systems, such as facial recognition. 

Some exceptions may be allowed for law enforcement purposes. “Real-time” remote biometric identification systems will be allowed in a limited number of serious cases, while “post” remote biometric identification systems, where identification occurs after a significant delay, will be allowed to prosecute serious crimes and only after court approval. 

2. High risk 

AI systems that negatively affect safety or fundamental rights will be considered high risk and will be divided into two categories: 

1) AI systems that are used in products falling under the EU’s product safety legislation. This includes toys, aviation, cars, medical devices and lifts. 

2) AI systems falling into specific areas that will have to be registered in an EU database: 

  • Management and operation of critical infrastructure 
  • Education and vocational training 
  • Employment, worker management and access to self-employment 
  • Access to and enjoyment of essential private services and public services and benefits 
  • Law enforcement 
  • Migration, asylum and border control management 
  • Assistance in legal interpretation and application of the law. 

 
All high-risk AI systems will be assessed before being put on the market and also throughout their lifecycle. 

3. General purpose and generative AI 
Generative AI, like ChatGPT, would have to comply with transparency requirements: 

  • Disclosing that the content was generated by AI. 
  • Designing the model to prevent it from generating illegal content. 
  • Publishing summaries of copyrighted data used for training. 

High-impact general-purpose AI models that might pose systemic risk, such as the more advanced AI model GPT-4, would have to undergo thorough evaluations and any serious incidents would have to be reported to the European Commission. 

4. Limited risk 

Limited risk AI systems should comply with minimal transparency requirements that would allow users to make informed decisions. After interacting with the applications, the user can then decide whether they want to continue using it. Users should be made aware when they are interacting with AI. This includes AI systems that generate or manipulate image, audio or video content, for example deepfakes. 

Opportunities 

Ethical Leadership: Organisations that prioritise ethical AI practices and demonstrate a commitment to responsible innovation can enhance their reputation and build trust with consumers, employees, and regulators. By aligning with the principles of the AI Act, organisations can position themselves as leaders in ethical AI deployment. 

Innovation and Differentiation: The AI Act promotes regulatory sandboxes and real-world testing, providing opportunities for Organisations to innovate and develop AI solutions in a controlled environment. Companies that invest in compliance and develop AI systems that meet the  AI Act’s standards can differentiate themselves in the market and gain a competitive edge. 

Market Expansion: Compliance with the AI Act allows Organisations to access the European market with confidence, as they demonstrate adherence to regulatory requirements and respect for fundamental human rights. This opens opportunities for expansion and growth in a region that values ethical AI practices. 

Talent Acquisition: Companies that invest in talent acquisition and training to support AIA compliance with the AI Act can attract top-tier professionals with expertise in AI governance, ethics, and regulatory compliance. Building a skilled workforce capable of navigating the complexities of AI regulation is essential for long-term success. 

The AI Act represents a real opportunity for Organisations that are looking to leverage the power of AI. However, there are some threats that business leaders also need to consider. 

Threats: 

Compliance Costs: The AI Act imposes significant compliance costs on Organisations, including overhead expenses related to risk assessments, governance frameworks, and regulatory reporting. Companies that fail to allocate sufficient resources to the Act’s compliance may face financial strain and operational challenges. 

Fines and Penalties: Non-compliance with the AI Act can result in substantial fines ranging from €7.5 million to €35 million, or a percentage of global turnover. Organisations that neglect the AI Act’s requirements or underestimate the severity of regulatory violations risk facing severe financial penalties that could impact their bottom line and reputation. 

Operational Disruption: Implementing robust governance and oversight measures to ensure  compliance with the AI Act may require operational adjustments and process changes. Organisations that fail to adapt their operations to meet the AI Act’s standards may experience disruption and inefficiencies that hinder productivity and competitiveness. 

Reputational Damage: Violations of the AI Act’s ethical standards or failures to comply with regulatory requirements can lead to reputational damage and loss of consumer trust. Organisations that are perceived as prioritising profit over ethics or disregarding fundamental human rights may face backlash from stakeholders and damage to their brand reputation. 

Conclusion  

In conclusion, while the AI Act presents opportunities for Organisations to demonstrate ethical leadership, drive innovation, and access new markets, it also poses significant threats in terms of compliance costs, fines, operational disruption, and reputational damage. By proactively addressing these challenges and investing in compliance with the AI Act, Organisations can navigate the regulatory landscape successfully and leverage AI technologies responsibly for long-term growth and sustainability. 

For more comprehensive information on Calligo’s Data Ethics and Governance solutions, visit https://www.calligo.io

For more information on Calligo’s AI solutions, visit https://www.calligo.io

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