The Ledger
Curated content foranalytical business leaders
Machine Learning is Necessary for Continuous Data Innovation
October 25, 2017
Automation has made some huge plays in the finance world. It has improved efficiency and given employees more bandwidth for value-added tasks. Machine learning is the next logical step to use this enriched, validated, and accurate data to liberate finance professionals from at least five kinds of redundant, yet necessary tasks. These tasks include digital business, fp&a, finance operations, and enterprise governance, risk and compliance. Through machine learning, finance organization can do more than ever before with lower or current support levels, innovate new ways to work, and increase efficiency, output, and, ultimately, profitability.
Read More at The Digitalist by SAP >
AI is Fundamentally a Prediction Technology
October 24, 2017
Machine intelligence has created a lot of hype in recent years and has lowered the costs of goods and services that rely on prediction. This matters because prediction is an input to a host of activities including transportation, agriculture, healthcare, energy manufacturing, and retail. First, we will start using prediction to perform tasks where we previously didn’t. Second, the value of other things that complement prediction will rise.
Read More at The Harvard Business Review >
The Benefits of the Big Data Revolution
October 23, 2017
According to a recent study, about one trillion gigabytes exist in the digital universe today. This data has proven to be an essential part of the 21st century business model in several industries. Business leaders can see how something is being produced, or where it currently is in the supply chain. They can see overviews of production flow history, dive deeper into physical properties, examine deviations, and more. These advancements bring on a smart product revolution that brings with it the most important benefit of all: opportunities for new revenue streams and competitive advantages.
Read More at The Digitalist by SAP >
The Importance of Real-Time Access to Actuals
October 19, 2017
Most finance professionals would agree that planning plays a pivotal role in their organization’s strategy. The evolution of business and finance technology has provided incredible access to the actuals of our organizations. The quicker we can obtain data, convert that data into information, transform that information into knowledge, and leverage that knowledge for better, smarter business decisions, the more the organization will benefit. What is the purpose of planning if we don’t monitor how we are doing versus our plan?
Read More at The Digitalist by SAP >
