Data & Business Intelligence
Porchlight’s data & BI team focusses on managing data and business intelligence (BI) processes and technologies. It includes business intelligence and reporting, data architecture, and data quality. Effective data and BI management ensure that the organization has access to accurate and timely information for decision-making.
Data & Business Intelligence - How Can We Help?
Data Architecture
Designing the data architecture to support business needs.
Example: Developing a data architecture framework.
Risk: Poor data architecture can lead to data silos.
Opportunity: Ensure data is structured and accessible.
Benefit: Improves data integration and usability.
Data Quality
Ensuring the quality of data used by the organization.
Example: Implementing data quality management tools.
Risk: Poor data quality can lead to incorrect decisions.
Opportunity: Ensure data accuracy and reliability.
Benefit: Enhances the trustworthiness of data for decision-making.
Data Migration
Data Migration is the process of transferring data between storage types, formats, or computer systems.
Example: Migrating data from on-premises servers to a cloud-based storage solution.
Risk: Data loss or corruption during the migration process.
Opportunity: Modernizing data infrastructure can improve performance and scalability.
Benefit: Enhanced data accessibility and reduced operational costs.
Business Intelligence (BI)
Providing BI and reporting tools and services to the business.
Example: Implementing a BI dashboard for real-time analytics.
Risk: Poor BI management can lead to inaccurate insights.
Opportunity: Provide actionable insights through advanced analytics.
Benefit: Enhances decision-making and business performance.
Data & BI Optimization
Improving the efficiency and effectiveness of data management & BI processes to gain actionable insights.
Example: Implementing self-service BI tools to empower users with data.
Risk: Poor data quality leads to inaccurate insights and decisions.
Opportunity: Optimized BI processes can uncover hidden trends and opportunities within data.
Benefit: Better-informed business decisions through timely and accurate data insights.
Artificial Intelligence (AI)
AI involves the simulation of human intelligence processes by computers.
Example: AI-powered chatbots providing customer service on websites.
Risk: AI biases can lead to unfair or unethical decision-making processes.
Opportunity: AI can automate repetitive tasks, freeing up human resources for more strategic activities.
Benefit: Enhanced decision-making capabilities through data-driven insights.
Generative AI (GenAI)
GenAI refers to AI systems that can generate new content, such as text, images, or music, based on learned patterns from existing data.
Example: AI-generated stories, artwork or music compositions.
Risk: Data privacy concerns due to the data used to train the models.
Opportunity: GenAI can enhance creative processes & content creation.
Benefit: Increased productivity and innovation in content generation.