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Location Intelligence in Advanced CustomertoNetwork Relationship Management Webcast 4×28/2010 Jeremy Peters, Solutions Architect Patna Bones Business Insight Bart Thailand, VicePresident, Viewpoint
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How to fill out location intelligence in advanced
How to fill out location intelligence in advanced:
01
Start by collecting data: Gather information from various sources such as customer databases, geographic databases, and external data providers. This data should include location-specific attributes like addresses, coordinates, or zip codes.
02
Clean and standardize the data: Remove any duplicates, errors, or missing values. Standardize the data format to ensure consistency across all variables. This step is crucial for accurate analysis and insights.
03
Enhance the data with additional attributes: Consider enriching the data with additional information such as demographics, socioeconomic data, or market-specific variables. This can provide a more comprehensive understanding of the location's context.
04
Perform geocoding: Geocoding is the process of converting addresses or place names into geographic coordinates (latitude and longitude). This allows for accurate mapping and spatial analysis. Utilize geocoding tools or platforms to automate this process.
05
Analyze the data spatially: Utilize advanced location intelligence tools or software to visualize and analyze the data spatially. This can include mapping, clustering, proximity analysis, or spatial statistics. Identify patterns, trends, and relationships that may be hidden in the data.
06
Integrate location data with other business systems: Connect location intelligence with other business systems such as CRM, ERP, or analytics platforms. This integration can provide valuable insights and help make informed decisions.
07
Apply advanced analytics techniques: Utilize advanced analytical techniques like spatial modeling, predictive modeling, or machine learning to gain deeper insights and make accurate predictions. This can help identify future trends, evaluate business opportunities, or optimize operations.
Who needs location intelligence in advanced:
01
Retailers: Location intelligence can help retailers optimize their store locations, understand customer behavior, and target specific markets more effectively.
02
Real estate companies: Location intelligence can aid real estate companies in identifying valuable properties, evaluating market potential, and predicting property values.
03
Logistics and transportation firms: Location intelligence can assist logistics and transportation companies in optimizing routes, managing vehicle fleets, and analyzing network efficiency.
04
Insurance companies: Location intelligence can help insurance companies assess risks, calculate premiums, and identify areas prone to natural disasters.
05
Government agencies: Location intelligence is valuable for government agencies in urban planning, disaster management, transportation planning, and infrastructure development.
06
Marketing and advertising agencies: Location intelligence can enable targeted marketing campaigns, personalized advertising, and customer segmentation based on location-based insights.
07
Healthcare organizations: Location intelligence can assist healthcare organizations in identifying healthcare disparities, analyzing patient populations, and optimizing healthcare service delivery.
Overall, location intelligence in advanced is beneficial for various industries and sectors, helping them make data-driven decisions, gain a competitive advantage, and improve overall efficiency.
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