Analytics & Data Driven
Heritage
Management With
Analytics
Management With Analytics
Leveraging analytics and a data-driven approach is essential for gaining actionable insights into your business. This approach is designed to:
- Inform institutional strategies,
- Enhance operational efficiency,
- Ensure the proper use of data and analytics across the organization.
By systematically collecting and analyzing data, you can anticipate market expectations and adjust your actions accordingly. This enables effective strategy execution, leading to long-term growth, increased revenue, and improved operational and financial performance.
How to Use Analytics & Data Drive?
This solution offers a straightforward method to gather and analyze data efficiently, providing a comprehensive view of your business’s impact on customers, users, or visitors.
It is an easy to use, objective and scalable dashboard that summarizes the desired data you need to highlight your strategy and business focusing on:
- Strategic priorities,
- Long-term-performance measures,
- Organizational direction,
- Standardized data sets and analyses,
- Level of top-management support.
In order to provide a highlighted solution, H24M has worked with seven leading heritage institutions to strengthen their data and analytics practice.
Key Features of Analytics & Data Driven
Visualization and Dashboard
Advanced visualization through real-time display of key performance indicators (KPIs), interactive charts, maps, and graphs, as well as customized reports and the ability to filter data to get information faster and easier.
Data Analytics
Descriptive, predictive, and prescriptive analytics in real time using historical trends and outcomes, statistical models, and artificial intelligence to predict risks/opportunities and provide recommendations for rapid decision making.
Data Collection and Integration
A collection of data from internal sources (ERP, CRM, etc.) and external sources (APIs, social media, partners, etc.) through automated and synchronized processes. The data is then integrated to transform it into usable formats.
Data Quality and Security
Data management by defining policies, procedures, and responsibilities that ensure data accuracy, privacy, compliance, and security through data encryption, access management, and confidentiality compliance.
Legal
Comply with standards and laws such as GDPR or other industry-specific regulations, with the ability to track data changes and access to ensure transparency.
