Efficiency in the roll-out of a fiber network
How does one efficiently forecast and profile new residential clients with confidence? How do you identify which properties are non-residential? How do you guarantee to provide an adequate on-site workforce with the accurate information needed to delivery satisfactory service?
For many fiber planners, the process of manually capturing address points, even boundaries and reliable address details can be difficult, tedious, and extremely time-consuming without access to the right data sources. Whilst the options out there are plenty, many of the data-based solutions to such challenges can often prove long-winded and misguided. It doesn’t have to be.
Network planners need to significantly reduce the time taken to properly assess potential areas of operation with confidence. By replacing outdated satellite imagery as the basis of analysis and relying upon commonly-updated, vector-based, pre-defined address points – the guess work in establishing an accurate number of households within a suburb or along a street segment is diminished.
Such reports go a long way in assisting network engineers with an immediate understanding of where there are areas of high and low concentrations of potential customers. Answering the question around where demand for fiber may be increasing or decreasing and whether or not the existing infrastructure in place is able to support such areas of new demand and expansion. These fundamental business questions can now be answered with certainty
The Anchor Point dataset, in conjunction with the chief surveyor-general erven boundaries, allows network planners to categories each and every address within an urban area. As shown above, each Anchor Point provides a house number, type of residence, street number, suburb, postal code and more. The dataset is able to do so through the constant monitoring and updating of node-captured entry points. An entry point is then used to identify the best location or locations along a road network for reaching the destination of the represented address. Quickly and easily providing planners with a holistic view into potential customers for an area.
When the Anchor Points are combined with business and demographic focused datasets such as the Census Squared or BizIndicator data layers, businesses are far better equipped in their ability to accurately forecast the number of potential new clients – both residential and business – within an area of new expansion.
When used in conjunction with the Anchor Point layer, business, and lifestyle datasets such as Full Points of Interest and BizIndicator are able to accurately highlight the exact number of schools, cafes and other businesses within an area that may provide an additional form of market other than residential. Aiding the process of fully qualifying an areas presence of business and residential potential. Furthermore, contact details, business categories and the number of employees can assist in prioritising such opportunities.
Because the Anchor Point layer, chief surveyor-general data and business points are all pre-categorised, no manual identification is necessary. This minimizes the level of uncertainty and massively reduces the time to market in any targeted campaigns. As a result, increasing your ROI by efficiently matching on-site resource allocation and avoiding re-deployments when it comes to plan execution time.