You’ve got the big picture, but how can you derive key business insights from data to answer your crunchy questions? Deloitte analytics can help.
- Finance analytics
- Predictive project analytics
- Risk analytics
- Supply chain analytics
- Workforce analytics
Finance is leading the way in expanding analytics activities into areas that grow revenue and improve margins in their organization. In addition to core analytics activities like revenue management, tax analysis and investor relations, Finance has demonstrated the ability to bring cross functional information together to drive value for other business functions such as sales, marketing, procurement, and even IT. Moreover, Finance can bring previously unrealized value and growth potential to the organization through “Finance-owned” analytics activities such as model based forecasting, advanced fraud detection, and capital portfolio optimization.
Some organizations understand financial management. Others know analytics. At Deloitte, we’ve combined them in our Finance Analytics practice to help our clients in their efforts to manage their financial resources, continuously safeguard their reputations, and to preserve—and increase—shareholder value. We bring an industry-focused approach to our clients’ needs, and are able to tap the full experience of our organization to deliver the value from finance analytics that our clients expect.
Predictive project analytics
Research shows more than 60% of companies have experienced project failure. Predictive project analytics (PPA) helps you avert challenges by leveraging our unique algorithm to determine the likelihood of project success. No matter where you are in the project lifecycle, predictive analytics can improve capital efficiency, contain project costs and provide insights into your organization’s level of manageable project complexity and risk given your current capabilities.
Did you know?
- 60% of companies experience project failure
- 44% fail to meet time, budget or quality goals; 15% fail to meet all of these objectives — or stop projects altogether
- 71% of projects are late, over budget or fail to deliver to their specifications
- 21% of projects are cancelled or never deployed
- An average cost overrun of 46% for all system development projects
How we can help
Our approach strengthens the connection between project risks and key success factors to deliver a holistic and deep view of the project.
- Inherent risk and complexity assessment
- Interviews and structured document
- Predictive analytic project review
- Analysis and synthesis
Benchmarking the results
Our database contains more than 2,000 successful projects ranging in size and complexity to compare your project against.
Predictive Project Analytics in Action
Learn how predictive project analytics helped a large investment corporation complete a project nine months ahead of schedule and 15% under budget.
Risk Analytics is an effective tool for organizations looking to more clearly define, understand and manage their risk profile – to increase what we call their “Risk Intelligence.” Risk analytics can give organizations visibility into many kinds of systemic risks, from credit risk and market risk to operational, reputational and cyber risk. It can help leaders deploy capital and manage their supply chain at a level that matches their risk tolerance. For organizations exposed to significant regulatory risk, it can be an important tool for helping to achieve compliance. And that’s just the start.
Some organizations are great at risk management. Others are great at business analytics. At Deloitte, we’re recognized as world leaders in both areas – and we’ve brought them together in our Risk Analytics practice to help organizations plan, monitor and model their enterprise risk.
Supply chain analytics
Can advanced analytics extract additional value from your supply chain, or do approaches based on traditional metrics deliver the best ROI? Every company with a supply chain devotes a fair amount of energy to making sure it adds value. But new tools and disciplines now make it possible to drill deeper into supply chain data in search of savings and our experience shows that companies can realize a margin improvement of 2% to 4% by applying more analysis to the data they already have. Let us help you improve your odds and answer complex business questions.
Given the importance of talent and people in business today, it’s time to move beyond instinct, gut and tribal wisdom in making workforce decisions. If you’re not using workforce data and analytics to drive your talent decisions, you may be behind the curve — and at risk of losing your competitive edge. As HR works with business leaders on the front lines, analytics are becoming critical in making more effective decisions related to workforce planning and recruitment, risk management, compensation, development programs and deploying critical talent. Deloitte Analytics can help you determine which workforce analytics models to use which will integrate internal and external data to predict future workforce and talent-related behavior and events. We can also help organizations focus limited resources on critical talent decisions. For example, models have been demonstrated to predict the likelihood that a particular employee will leave in the next six months — and can provide likely reasons for the prediction.