Success Stories

The Challenge

• Lack of systematic planning and accountability of costs across multiple business units

Our Solution

• Hyperion Planning & Budgeting
• Hyperion Profitability and Cost Management

Results

• Systematic Planning and Budgeting processes via alignment of financial plans, models and forecasts across the different business units
• Improved profitability through use of cost breakdown, consumption-based costing and scenario-playing to arrive at profitability for effective decisions and planning purposes
• Visibility of specific cost factors within the different business units

The Challenge

• Lengthy budgeting process
• Lack of reports, analysis, and advanced planning techniques.
• Lack of optimum organization of resources to achieve objectives

Our Solution

• Hyperion Planning and Budgeting
• Business Intelligence

Results

• Alignment of financial plans, models, and forecasts across the Ministry’s cost centers, reducing the time taken to arrive at decisions
• The Ministry’s forecasting cycle drastically reduced by weeks
• Improved accuracy of plans and forecasts, leading to huge savings on labor hours spent on making corrections
• Organization of complex and multiple data into insightful information
• Data-driven decision making – leading to a more efficient allocation of resources across the Ministry’s projects

The Challenge 

Spanning over 13.3m sqm, Palm Hills Developments is an ever-growing leader in integrated residential, commercial real estate and resort projects. Handling projects of such wide scope, this real estate leader generated a lot of data through all the work they managed. The question remained – how should it be used to their benefit?

Our Solution  

• Business Intelligence

Results  

• Emerging market leaders by having critical information at their fingertips for faster and more effective decision making
• Better risk management through what-if analysis allowing them to be prepared for business changes
• Impactful operational reporting through compilation of real time streaming data analytics from many different data sources