People-First Technology and Strategy
What is Strategic Planning and Why Does it Matter? Strategic planning is one of the most important things you can do for your organization. It helps you not only paint the picture of where you want your organization to be in the future, but also draws the roadmap for how you’re going to get there. … Continue reading Developing a Geospatially-Aware Strategic Plan for Your Organization
Managing geospatial data effectively is an important challenge for organizations that use location information for decision-making. Portfolio management for geospatial data involves organizing, evaluating, and prioritizing datasets to maximize their value while minimizing redundancy, inefficiency, and cost. However, such data carries a unique set of challenges that require deliberate strategies to address. Metadata management plays … Continue reading The Importance of Metadata in Geospatial Data Portfolio Management
Many organizations rely on geospatial technology to derive insights based on location and spatial relationship. Whether they are mapping infrastructure, analyzing environmental changes, or optimizing logistics, managing geospatial investments effectively is imperative. Two strategies, IT portfolio management and IT rationalization, can help organizations maximize the value of their geospatial assets while reducing inefficiencies. Leveraging the … Continue reading Geospatial Portfolio Management and Rationalization
At Cercana, we have worked with geospatial systems that have run the gamut—from all-in proprietary stacks to pure open-source toolchains. As the technology landscape evolves, many organizations are blending both proprietary and open-source solutions. These hybrid architectures aim to capitalize on the best of each world, providing flexibility in how users store data, serve maps, … Continue reading Hybrid Approaches to Geospatial Architectures
At Cercana, we're excited by the constant evolution of geospatial technology. AI and its related technologies are becoming increasingly important components of geospatial workflows. Recently, our founder, Bill Dollins, has shared some of his explorations into AI through his personal blog, geoMusings, where he has written about topics like Named Entity Recognition (NER), image similarity … Continue reading Integrating AI Into Geospatial Operations
In today's data-driven world, integrating various systems and managing data effectively is crucial for organizations to make informed decisions and remain responsive. Two popular approaches to data integration are using an Integration Platform as a Service (iPaaS) or building a custom data pipeline. Each approach has its advantages and challenges, and the best choice depends … Continue reading Choosing Between an iPaaS and Building a Custom Data Pipeline
OpenStreetMap (OSM) is a primary authoritative source of geographic information, offering a variety of community-validated feature types. However, efficiently querying and analyzing OSM poses unique challenges. PostgreSQL, with its hstore data type, can be a powerful tool in the data analyst’s arsenal. Understanding hstore in PostgreSQL Before getting into the specifics of OpenStreetMap, let's understand … Continue reading Using Hstore to Analyze OSM in PostgreSQL
Do you need a data pipeline? That depends on a few things. Does your organization see data as an input into its key decisions? Is data a product? Do you deal with large volumes of data or data from disparate sources? Depending on the answers to these and other questions, you may be looking at the need for a data pipeline. But what is a data pipeline and what are the considerations for implementing one, especially if your organization deals heavily with geospatial data? This post will examine those issues.