The power of geospatial data in the digital economy

Source: energy.einnews.com

The National Geographic Database, maintained by OS, now contains half a billion geographic features with centimetre level accuracy and is updated over 20,000 times a day to keep up with changes. As these use cases have also showed, location data comes into its own when used as a backbone for pulling disparate data sets together to learn about the relationships between variables of an environment.But location intelligence is a major driver of sustainability efforts too. Geovation, a recent OS initiative in association with HM Land Registry, provides start-ups with grant funding, access to data, geospatial expertise and land and property information.The content OS generates is leveraged by not only the government and the public and business sectors of the United Kingdom, but also other countries around the world. OS is increasingly providing geospatial data for large-scale energy and sustainability projects such as the National Underground Asset Register.

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Geospatial data is the key to combating climate change

Source: techtarget.com

Enterprises, meanwhile, have long used geospatial data to attract as many customers as possible, informing decisions such as where to open a new retail outlet. A lot of insurance applications for geospatial data produce more insights into the complex environment of climate change. There is a need for smart city solutions and an open community of geospatial interest.

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The geospatial analytics market is still growing

Source: globenewswire.com

Integrating geospatial analytics with other technologies such as ML, IoT, and more, the market for geospatial analytics had experienced tremendous growth. The Data Integration & ETL solutions are growing at the highest CAGR of 13.8% during the forecast period. These solutions aggregate data from several heterogeneous sources for business intelligence and to improve customer services. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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Location – Aware Technology Industry Expected to Grow Exponentially in Coming Years

Source: investegate.co.uk

Companies in these sectors rely on geographic and location data as a core function of their business. According to a recent study by Market Data Center, the global geospatial market will grow exponentially over the next eight years, from USD 64.72 billion in 2021 to 153.25 billion in 2030. These advancements continually benefit from the ancillary software technologies used to contextualize both satellite data and on-the-ground geospatial data. The progress being made in the capabilities of location-intelligence software provides companies with new ways to collect and analyze geospatial data. Especially in the insurance industry, where location-aware technology is used to query property conditions remotely.

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Esri and ROSHN to Bring Geospatial Technology to Saudi Arabia

Source: geospatialworld.net

ROSHN, the Kingdom of Saudi Arabia’s national real estate developer, backed by the country’s Public Investment Fund (PIF), supports government efforts to increase the rates of homeownership while delivering high-quality living standards. The Saudi Arabia developer builds communities that look both to the nation’s heritage and growing resident aspirations. The agreement enables ROSHN to adopt Esri’s suite of geographic information system (GIS) products and solutions to improve the planning and development of 200 million square meters of sustainable neighbourhoods across Saudi Arabia. “This is an incredibly exciting development for ROSHN and the wider real estate sector,” said Sabah Barakat, ROSHN’s chief operating officer. “This will also support the transformation and development of geospatial practices and adoption of data standards within the region,” he added.

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Anaconda setting the Enterprise standard for Python across the Geospatial community by collaborating with Esri

Source: consumerelectronicsnet.com

This collaboration supports Esri and the geospatial community by providing users of Esri’s software with preloaded geospatial packages for use with Python. Geospatial analysts and data scientists can perform powerful new analyses using the rich ecosystem of tools within the Anaconda package repository while staying within their familiar ArcGIS environment. With over 25 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. They pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. With its pioneering commitment to geospatial information technology, Esri engineers the most innovative solutions for digital transformation, the Internet of Things and advanced analytics.

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How harnessing external data can transform the profitability

Source: intelligentinsurer.com

As noted by McKinsey in a recent article: “Although external data sources offer immense potential, they also present several practical challenges.“

To deliver maximum context, data experts must gain, verify, process data into the right format, and create references to the appropriate internal data. Insurers can share highly detailed post-weather event data, which enables claims teams to settle more claims with increased accuracy. They can also use the data to review and share recent past weather data within various territories. Once insurers have identified additional sources of external data, how do they ensure they are gaining joined-up insights?

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Why do businesses need location intelligence?

Source: technologyrecord.com

For most organisations, adding additional location data to these addresses can be both valuable and profitable. From avoiding missed deliveries and service calls to plan routes between drop-offs and assessing the risks associated with a location, there are many reasons businesses may need to supplement their address data with location intelligence. Unique Property Reference Numbers are unique references given to address and non-address locations in the UK by the Ordnance Survey. As unique references, they can help organisations to build a trusted indexing system for all the addresses they hold. Whatever choices you make about location data will depend on the industry you are in, what logistical issues you face and what intelligence you want to derive from the world and your customers within it.

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What does the new era of location intelligence hold for businesses ?

Source: techcrunch.com

Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data will be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Advances in cloud-based location service are ushering in a new era of location intelligence by helping data engineers, analysts, and developers integrate location data into their existing infrastructure, build data pipelines, and reap insights more efficiently. Brands across industries are using cloud-native location data with other downstream cloud services.

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Streaming Analytics Market worth by 2026

Source: finance.yahoo.com

The Streaming analytics industry is driven by increased digitalization and emerging technologies, such as big data, IoT, and AI to drive the market growth. Streaming analytics combines geospatial, graph, and business analytics into a single platform purpose-built for performance and scale. Various benefits, such as agility, scalability, and cost optimization features, are boosting the adoption of hybrid cloud analytics solutions in the global cloud analytics market. System integrators are also implementing streaming analytics software that enables better orientation in the complex building, providing streaming-based analytics and tracking functionalities. Streaming analytics enables companies to adopt the analytics of data streaming and sensor data from grids to provide real-time insights on operational performance.

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