Daly Potato Co., a diversified potato growing operation in Tasmania, Australia, faced two main challenges. Firstly, they leased land to grow potatoes but were unsure of the exact returns from this leased land. Secondly, as producers of food products sold directly to consumers, they were required by auditors to maintain accurate records of inputs used in the growing process. The company needed a solution that could accurately track all inputs, labour costs, and machinery costs to provide an accurate cost of production per field and accurate reports of all chemicals and fertilisers applied.

Emerald Farms, a farming operation in Maxwell, CA, was struggling to keep track of all the information and tasks being performed on the farm. The farm's partner and general manager, Leon Etchepare, was trying to achieve more vertical integration of the farming operation, but he needed a centralized platform that would deliver him the information he needed, when he needed it. The farm comprises 3,500 acres of almond and walnut trees as well as 2,500 acres of irrigated row-cropping. After transitioning into the role of partner and general manager of Emerald Farms, Leon decided that the operation needed more technology in order to become more efficient.

Ben VanDyke of VanDyke Farms needed a better way to track his input applications for certification purposes when he started to grow food crops next to his existing grass seed operation. The farm is surrounded by sensitive crops, which necessitates a high degree of caution when spraying and accurate input application tracking to prevent spray drift from occurring. The farm is often blamed for herbicide drift, even when they are certain it wasn't them. This necessitates having legal proof in case of an investigation. The farm also needed to create reports for GAP and other certification, which became important with the introduction of blueberries and hazelnuts.

Elders, a rural service provider in Australia, was seeking a digital platform that would enable their agronomists to provide a consistent service and collaborate with their growers. They wanted a solution that would be beneficial for their clients to adopt as well. The challenge was to find a platform that would ensure continuity in their agronomy service provision, even when agronomists might relocate to other branches, and that would provide access to historical agronomic data for all agronomists.

OneMap, a real estate and property development mapping platform, was facing a time-consuming process for producing custom maps and reports. They also had to undertake a substantial amount of data entry for their weekly updates. Their primary objective was to reduce the time involved in providing their customers with complete and accurate property reports. They aimed to compile detailed property information into a single, easy-to-use platform capable of leveraging location data and processing a high volume of attributes from each point. They also sought the capacity to create high-quality digital maps that would empower their customers, providing them with the means to visualize multiple data streams and perform their own filtering and spatial analysis.

Descifra, a global Location Analytics provider based in Mexico City, aimed to disrupt the site planning and sales prediction process with their product, Omen. The product brings together a large and diverse range of datasets, making it crucial to have an intuitive and slick interface for decision-makers to extract insights. The visualization tool needed to handle millions of data points, often in real-time, without compromising on speed, security, and geographical granularity. The challenge was to forget traditional 150-page PDF reports and put cutting-edge Location Intelligence visualization in the hands of their clients.

Securitas Direct, a leading connected alarms provider, had a large and growing sales force of 1,000 reps tasked with visiting existing and potential customers to retain and acquire new business. However, the allocation of leads and opportunities from their marketing department was done manually without exploiting the context of location data. This resulted in several different sub salesteams looking at the same opportunities and leads often being manually assigned by province, rather than geographical proximity, wasting sales rep’s time and resources. Securitas Direct needed a location-driven solution that would allow their team to be more efficient and productive, and that would work smoothly alongside their existing CRM technology (Force Manager).

Wecity, a sustainable mobility app, wanted to crowdsource and visualize smartphone-generated location data collected from thousands of users every month, for both their web and mobile app. They needed a location technology that would allow them to seamlessly collect, visualize and analyze user-routing data from cities and governments, and also about intermodality for potential partners, to create safety insights and indicators for its users. They also wanted to create a compelling platform by embedding maps that were beautiful and easy to use, as well as in line with the rest of their app.

As Sanitas, a healthcare provider based in Spain, grows and diversifies its offerings, it needs to ensure it's expanding in the right places and in the right ways. Being a part of Bupa’s massive operation, which touches 190 countries, finding locations best suited to new healthcare centers is a complex endeavor—as is uncovering the healthcare needs of local populations. Sanitas prides itself on serving clients throughout every stage of life; doing this well across a growing variety of facilities requires a wealth of demographic and location information—as well as the means to organize and understand that data in actionable ways. To fulfill its mission, Sanitas needed location intelligence that could provide dual functions: helping the company make wise choices for future development, and enabling the company to provide exceptional care to local demographics.

JLL, a global leader in real estate services, was looking to scale their Gea solution in key countries such as the US, Australia, the UK, Italy, and France. The Gea platform brings together thousands of data types on Real Estate assets to ensure accurate valuations and analyses are provided to their clients. Connecting to their Big Data Cloud infrastructure (JLL DataHub) would be fundamental in order to ensure high-quality, automated data pipelines could support frequent updates to the billions of data points that would be available in the solution. However, they faced challenges in localization for different markets, handling big data, and ensuring the final application would be user-friendly for consultants with more commercial profiles.

Renault needed national level georeporting for local and regional analysis of their network. The goals of the Renault France team are threefold: optimization, standardization, and a more granular analysis. With 4000 outlets across the country, Renault’s presence in France is extremely significant. Each regional manager is looking for the opportunity to look into coverage levels, local competitive landscape, and outlet by outlet performance data. Having a unified system where their regional leaders can look at their own data to make decisions around resourcing and geomarketing, while standardizing language and process via a single platform across the country, would help meet KPIs for sales and aftersales outlets.

Indigo Agriculture, a company that works with growers to reimagine the entire agriculture system, faced several challenges in their data-driven approach to business. Their analytics team had to deal with a wide range of internal and external data sources, including internal CRM data from Salesforce, external meteorological datasets, and data collected in the field. The team needed to pull data from existing systems and upload a variety of data formats for collaboration across departments and the creation of a seamless end-to-end experience for customers. Another challenge was turning complex geospatial data into actionable insights for business users. The team sought to provide business users in marketing, sales, and field operations a more intuitive and interactive format for viewing data, instead of relying solely on traditional, tabular data. Lastly, the business units often needed to see prototypes or analysis against tight deadlines. The team needed to quickly bring together data, carry out complex geospatial analysis, and deliver dashboards to ensure geospatial analytics were considered in all business decisions.

Faraday, a marketer's choice for consumer prediction infrastructure, faced several challenges in predicting the future of an ever-evolving industry. The task required a holistic approach to gathering, visualizing, and segmenting data from a variety of sources. The task became increasingly difficult if the objective was to make these predictions with minimum or no requirements for user technical expertise. Faraday needed a way to visualize vast amounts of data to bring customer personas, segments, and predictions to life and drive faster business decisions. Another challenge was ensuring that these large volumes of data or the level of sophistication of each analytical use case did not impact the speed of the end-user experience. Faraday ingests data from 200 integrations into BigQuery. Therefore, in order to take its predictive analysis solution to the next level, Faraday needed a BigQuery- native Location Intelligence platform capable of seamlessly analyzing and visualizing the vast amounts of consumer household data stored there.

ConnectEast, the owner and operator of the 39km EastLink toll road in Melbourne, was facing challenges in managing its vast array of infrastructure assets. The company was using a paper-based method of asset management, which was inefficient and time-consuming. Documents were scanned and saved or transcribed into the system manually, or in the case of photos, uploaded. This process was not only cumbersome but also posed the risk of potential loss of information. Moreover, scanned documents (PDF’s) did not allow for spatial analysis or reporting capabilities. There was a lack of real-time visibility, and it was difficult to meet ongoing reporting demands, including KPI tracking for government reporting purposes.

Allegro, a leading e-commerce platform in Central Europe, decided to invest in its own logistics and delivery services. Using its own fulfillment infrastructure, network of parcel lockers, and last-mile delivery services, the company aimed to improve consumer convenience and speed up deliveries. This meant that Allegro needed to have greater control over these services, to support their transition from an online to omnichannel player. The challenge in Allegro’s case was having the right analytics platform and tools in place to support their network expansion in 3 key areas: strategy, execution, and performance measurement. Specifically, the main goal was to drive an efficient and cost-effective growth strategy for its network of parcel lockers, a type of delivery that currently makes up a staggering 70% of deliveries in Poland.

Mastercard, one of the world's largest financial services companies, processes over 160 million transactions every hour. This transaction data is extremely valuable and represents a significant resource for the company. However, monetizing this data presents several challenges. Firstly, any data monetization strategy must prioritize data privacy and security to maintain Mastercard's promise of keeping payments safe and secure. This requires anonymizing and aggregating the data to remove individual identifiers and prevent the inference of specific identifiers once the data has been aggregated. Secondly, the data needs to be productized in a way that appeals to a diverse audience with varied needs. This requires delivering an intuitive and singular user interface while ensuring the user experience is tailored based on industry and role. Lastly, the spatial nature of the transaction data presents challenges in determining the spatial scales at which to aggregate data. This is particularly complex when working internationally, as different countries have distinct geographic units.

Sistema.bio faced several challenges as they expanded their operations globally. They needed to visualize all existing and pending biodigester installations, over 15,000 existing digester locations on one map (and over 30,000 yet to come by 2023), to empower the staff to make informed decisions on their team resourcing and activities. They also needed to conduct market research and site selection for expansion plans. They needed to know where they currently have a strong market presence, and where they could be expanding. Exploring their existing customer base - such as through heatmaps - is a fantastic way to quickly build location into strategy. Lastly, they needed to connect their existing data pipelines and algorithms to optimize the activities of their field staff, whether that’s their credit, installation, sales or training teams. Most of these processes are currently managed in Salesforce.

ING’s marketing team wanted to provide an added-value service that would allow consumers to select their neighborhood with more location-based context, based on their own individual needs and characteristics. They noticed that their clients were often focusing on key property information such as square meters, the number of rooms, recency of renovation, or even how much sun it gets, rather than focusing on the location. They wanted to create a neighborhood selection solution, that would allow their existing and potential clients to find the perfect neighborhood for them, based on their needs, preferences and budget. The challenge was to gather and present information in a clear way for consumers, allowing the user to gain new insights from high volumes of spatial data in 5 cities, going beyond simply displaying Points of Interest on a map. The solution also needed to work seamlessly on mobile devices, creating a design that would ensure the mobile experience would be just as intuitive for users.

Perkins and Will, an interdisciplinary, research-based architecture and design firm, faced the challenge of ensuring the safety of their employees as they returned to work amidst the COVID-19 pandemic. The firm needed a comprehensive guide to facilitate the transition back to the workplace, taking into account factors such as employee readiness, distance analysis, and new protocols. The firm had to support the return of 2,600 employees across 21 studios in North America. The process of planning resource allocation in the workspace needed to be three times faster to meet the demands of the situation.

Anagraph, a Montreal-based company specializing in building custom geospatial solutions, identified a gap in the market for small, online businesses. Many of these businesses lacked information about the market and tools to provide insights into buyer personas. Geomarketing solutions have been around for decades, but due to complexity and cost, they have long been accessible only to large enterprises. Anagraph saw an opportunity to bridge this gap and provide a greater range of retail insights to smaller operations, allowing online retailers to build a more comprehensive geomarketing strategy.

Grupo Lar’s asset management and development team were looking for ways to use new types of data, and in particular location data to understand potential investment opportunities - considering more spatial factors in their decision-making. Spain is Grupo Lar’s main market, where it has consolidated a dominant position in the real estate sector, combining investment, management, and promotion. As an independent company with a sole focus on real estate, Grupo Lar is able to establish a strategy based on the best investment opportunity moments, thanks to its extensive knowledge of the sector as well as its ability to access local resources. This position allows them to gather large amounts of insights on a daily basis. Therefore, the main challenge of this project was to provide a solution that enabled them to analyze and visualize all their business KPIs in a simple and intuitive way, while processing the data in real time, in order to streamline the decision making process.

Gloval's Data & Analytics team wanted to start using location analytics solutions to develop Valea, a web application that would allow its clients (professionals from real estate agencies and investment funds) to make spatially-informed decisions on residential property assets. They sought to provide its clients with a solution that would allow them to analyze and visualize large volumes of data on the Spanish real estate market. This included big data processing, need for faster insights, and going beyond traditional PDF formats. They needed to support business and sales strategies for their clients with asset closure data, available assets data, financial data on potential margins, and historic data on residential property assets. They also wanted to provide a faster and frictionless experience for clients, allowing them to understand the potential sale price of their property with an enriched market study, exhaustive & spatially-informed market analysis, supply and demand statistics, and socio-economic indicators to enrich existing data.

SIL International and Ethnologue are adapting to a global landscape that is adopting new technologies and growing more interconnected by the day. As Ethnologue looks to be a more powerful resource across sectors, they need to keep pace with rapid technology growth and the need for more dynamic language intelligence. Given the spatial nature of language, where it is spoken and how it either shrinks or proliferates, the ability to visualize these 7,117 living languages was paramount to the educational component of Ethnologue’s mission. Historically, they had been using more static maps as a resource, which is natural given their literary roots. They would subsequently publish the maps online. And while this is certainly useful, especially at the more granular country level, it doesn’t provide a complete and living resource on where languages are spoken EXACTLY. It also lacks a level of interactivity which helps the project to transcend to the goal of language intelligence.

Tinsa Digital wanted to provide more powerful solutions that would allow their clients (Financial Institutions, Investment Funds and Real Estate agencies) to manage their portfolios in a more agile way - with more spatial insight. The solution needed to provide a series of indicators in relation to asset locations so that clients could see relevant segments using multiple layers of information in just a few clicks. Working with CARTO’s platform allowed Tinsa Digital to automate processes, such as the loading and visualization of information, generating a 'user-friendly' display, requiring no specialized training. This allowed these different divisions of their business to perform complex calculations, delivering results faster, as well as including different layers to complete Real Estate, financial, or geospatial analyses. This would allow them to create AOIs (Areas of Influence) correctly attributing values to different administrative regions, as well as optimizing their own geometries. The key challenges included: User management for large volumes of information, Flexibility and responsiveness when working alongside Tinsa Digital clients, Effective integration and automation of ETL processes.

The Australian Football League (AFL) aims for around 3-4 percent growth in community engagement each year. Ensuring facilities are right in each area is an important aspect in attracting new players and retaining current players around Australia. Organisational effectiveness is important to ensure resources go to the right places. In each region, clubs and leagues make requests to the state and then to the national body for funding and the AFL must assess each application based on its merits. Local region managers are also required to make their case to local councils to obtain investment. Communicating the status of a region’s participation gives people on the ground the right starting information so they can take the right actions to improve participation. In the world of data driven decision making, the AFL needed a way to communicate quickly to local and state governments about their local needs. Communicating with local authorities using a standardised report that wasn’t tailored to a region made it more difficult to convey the AFL’s message.

ITICO F+B, the exclusive franchisee partner of The Halal Guys and Eggslut, is planning to expand these brands into the UK market. The plan is to have 20 restaurants up and running for each company over the next five years. One of the main challenges faced by the company was not having the right tools and data needed to understand the market and, in turn, use that information to invest in the right commercial properties. The company believes that real estate is a retailer’s most expensive investment and the return on investment after opening a new restaurant largely depends on the location of the property.

Danone, a multinational corporation in the consumer goods manufacturing industry, faced a challenge in understanding the consumption behaviour associated with each point of sale format in its extensive convenience channel network. The network included small local supermarkets, neighbourhood stores, corner stores and kiosks. The disorganised nature of this network made it difficult to define the assortment of products to be stocked in refrigerators with limited space, which section of the cashier payment queue is the most strategic, the type of point of sale advertisement to be used, among other things. Danone had been trying to organise and explain the behaviour of its convenience channel for 70 years.

kidsunlimited, a UK-based childcare provider, was facing challenges in managing its rapidly expanding network of over sixty nurseries. The company was struggling with its legacy financial and management reporting systems, which were unable to correlate information across different data sources. This led to the creation of multiple, individual reports and manual collation, a time-consuming process that often resulted in a lack of visibility at a local level. The company was in need of a solution that could improve communications and reporting, enabling it to have a centralised view of its operations across all its dispersed sites.

Adige Commercialcarta, a Verona-based company manufacturing bags and paper for food products and packaging materials, was facing challenges due to its growth and diversification of activities. The company needed to expand its corporate software to support both the production division and the sales network. After implementing an ERP management and production-planning system, the company needed a tool that would allow it to quickly and simply extract and analyze sales and production data. The company was looking for a solution that was manageable, easy to implement, and could provide in-depth sales analyses, which would also be very useful for its regional agents.

ADP Netherlands BV, a part of international market leader ADP Inc., provides a wide range of HR, payroll, tax, and benefits administration solutions to approximately 1.2 million employees in over 6,000 companies every month. The company was facing a challenge in providing its customers with relevant and easily accessible information about Human Resources. The static reports generated by ADP using Cognos Imprompto and Clarion Report Writer were not meeting the dynamic reporting and analysis needs of their clients. The HR departments of their client companies were becoming more accountable and needed to provide information directly to the board of directors. This required the HR departments to have their business processes clearly mapped out. Furthermore, line managers needed feedback and overviews of various HR aspects such as employees with a high number of sick days.