Our way of working always starts with collecting our client’s needs. These needs are translated into a workflow aimed at collecting data. With it, we determine a story that can be divided into different chapters. These chapters will be translated into maps through location intelligence. By analyzing this data we can process storytelling to boost our clients current processes and enhance its market position. All chapters will be visualized into a custom made interface which can be used as applications or plugins to existing geographic information systems.
This how HAJA works
Insights through BI en GIS
Over the past decade, geographic information systems (GIS) have become more important. As a supporting technology its importance has grown for the business environment and attributed to the sphere of business intelligence (BI). By combining GIS and BI, HAJA Insights excels in generating insights in process optimizations and business opportunities to keep our clients in control and in a competitive position.
Collect and structurize data
GIS integrates many different kinds of data layers using spatial location. Most data has a geographic component. GIS data includes imagery, features, and basemaps linked to spreadsheets and tables.
Relate data to maps
Maps are the geographic container for the data layers and analytics you want to work with. GIS maps are easily shared and embedded in apps, and accessible by virtually everyone, everywhere.
Spatial analysis lets you evaluate suitability and capability, estimate and predict, interpret and understand, and much more, lending new perspectives to your insight and decision-making.
Excelling in business requires a clear vision on solutions. Interface applications provide user experiences and bringing GIS to life for multiple users. GIS applications work virtually everywhere: on your mobile phone, tablet, web browsers, and desktop computers.
Business environment and the effects of globalization
The business environment has become more complicated through the effects of globalization, growing customer education and increasing competition. To stay competitive a company has to invest in information technology and business operations to become more automated and measuring technologies more sophisticated. For this reason most companies often acquire massive amounts of internal data relating to customers, business operations and financial performance. This data overload forms a challenge to the BI professional, who is required to store, locate and analyze data to present it to decision makers within the company.
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