Big Data and GIS

The world’s digital transformation

Our world is undergoing a massive digital transformation in which everything is being monitored, measured, recorded and connected through a vast network of sensors — the Internet of Things (IoT).

The IoT is creating vast data sets — Big Data — which, when analysed with the right tools, reveal actionable insights and empowers executives to make informed decisions based on an accurate and comprehensive situational awareness. 

The big deal with Big Data

Three Vs define Big Data:

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Volume

Massive amounts of data are being generated

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Velocity

Data’s being generated very fast

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Variety

Data comes in various formats

Big Data is not valuable in and of itself; its value derives from what a business can do with it and the insights it may hold.

Without analysing the data and finding the hidden patterns in it, a business is not maximising the use of its IoT sensors or the data it’s collecting from them.

What can ArcGIS do for your Big Data?

Have you ever thought about how a supermarket chain selects its store location? Several layers of data that go into a decision like that: demographics, household income, age distribution and drive time to name a few.

ArcGIS allows you to bring together layers of data from various sources — including existing business intelligence (BI) tools — analyse it and deliver insights that can be easily shared with others across an organisation.

The power of the platform comes from its distributed computing — the distribution of the processing of Big Data among more than one server, scaling up and down as needed.

Whether you deploy it as a whole-of-business solution or you’re looking for a location analytics component to integrate into your unstructured database system or existing business intelligence (BI) tools, ArcGIS will deliver insights that can be easily shared with others across an organisation.

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Find hotspots

Sift through massive data sets to identify clusters of recurring incidences

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Analyse patterns

Reduce and summarise your data in ways that let you explore patterns

Aggregate & summerise data icon

Aggregate & summarise

Aggregate millions of data records into a digestible form that can be easily understood

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Visualise results

Map your data and see the change over time

Turn data into understanding

Geographic tools help you convert raw data elements into geographic layers of information that can be analysed to create new, more insightful maps for decision making.

Expose geographic patterns

Maps make it easier to see the story behind your data.

Identify spatial relationships

Thinking about big data in a geographic manner allows you to solve problems and answer questions.

Perform predictive modelling

Develop strategies from if/then scenarios using spatially enabled big data to stay ahead of the curve when it comes to disaster management or the spread of an epidemic.

Big Data products

ArcGIS GeoEvent Server

ArcGIS GeoEvent Server

Map assets in real-time for better decision-making and maintain real-time situational awareness for better-coordinated field activities. 

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ArcGIS GeoAnalytics <span>Server</span>

ArcGIS GeoAnalytics Server

Using the power of distributed computing, analyse large volumes of detailed vector datasets and run analysis in a single transaction for faster and enhanced productivity.

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ArcGIS Image Server

ArcGIS Image Server

Raster analytics and dynamic image services available in ArcGIS Image Server provide scalable raster analysis models, distributed computing and storage, on-demand products with on-the-fly processing and dynamic mosaicking capabilities.

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Questions?

Call 1800 870 750 if you’d like to speak with one of our consultants for an obligation-free chat to tailor a big data solution that works for your operation. 

 

Big Data in action

Understand your data with Big Data analysis tools

Understand your data with Big Data analysis tools

Struggling to work with Big Data? Geo-analytics tools allow you to make sense of it all, identify patterns and find the needle in the haystack that you’re looking for.

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GIS and IoT: A real-world example

GIS and IoT: A real-world example

Atlanta Airport IoT deployment collects massive data records that are put into a solution builder that connects to GIS technology to create end solutions. 

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Big Data and Geoanalytics

Big Data and Geoanalytics

Modelling 12 million soil polygons with 365 days of weather data for 87 hybrid seeds resulted in 300 billion spatial and temporal calculations carried out in 10 minutes to show when and where each seed should be planted. 

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