The Ledger

Data-Driven Analytics for Financial Services

Data-driven analytics are key to the current and future competitiveness of financial service companies. By capturing and leveraging massive volumes of data, financial services companies can capitalize on new data-driven business opportunities. The first step toward realizing this goal is a solid data management foundation that supports the analysis of both enterprise data and Big Data. Once this foundation is established, financial services organizations can begin implementing machine learning algorithms to support automated decision-making and data-driven process optimization- helping them generate insights that create better customer experiences, improve operational efficiency and drive sales.

Read More at The Digitalist by SAP >

Intelligent Automation in the C-Suite

“Intelligent automation boosts both day-to-day finance functions and the quality of finance’s strategic insight.”

Digital Transformation is in everyday tasks and gives insight into how AI impacts the average finance member up to the CFO. The greatest benefits of automated processes come from the finance function’s improved ability to be proactive and creative in providing the company with insights on trends driving the business. The heightened ability to use data to create better-informed narratives based on the fluctuation analysis provided by AI has enabled businesses to reach a higher level of sophistication in every finance team’s work.

Read More at CFO Magazine >

Is Activity-Based Costing Worth It?

Manufacturing companies need to understand product costs accurately and in detail. This kind of information is essential for planning operations, pricing, and evaluating business margins. Activity-based costing helps manufacturers identify what products are truly profitable, the true costs of products for pricing, and what activities are driving costs. However, activity-based costing is known for being difficult to apply and labor-intensive due to the extensive data needs of the process. The trick to knowing if activity-based costing is worth the trouble is first finding a tool that can compute accurate product costs and has the capabilities to take the labor and data needs off your hands.

Read More at The Business Case >

Tackling Supply Chain Challenges Head On

The top three challenges most supply chains face are managing complexity, increasing agility and generating value. Managing complexity is the result of customized demand and multi-tier networks of product and service supplies. Additionally, volatile demand, fast-changing market conditions and geopolitical instability test the agility of the supply chain and exposes where it is lacking. This hinders the ability to generate value by changing the perception of the supply chain function from a cost element to a key competitive factor. Luckily there are some capabilities that can help to overcome these hurdles: visibility, collaboration, and data-driven processes. The catch is finding the right tool that can provide these capabilities while proving actionable insight.

Read More at The Digitalist by SAP >