The Ledger
Curated content foranalytical business leaders
CFOs Are Taking Aim at 2018
December 13, 2017
2018 promises to be an exciting and crucial year for many CFOs. A potential corporate tax cut in the United States could boost many companies’ bottom lines. Technology will continue to slowly enable greater productivity in the finance department. And federal regulators may loosen some of the red tape that businesses think is choking growth. CFOs will have many options when it comes to how their businesses are run. So, what do CFOs have at the top of their to-do lists for 2018?
The Trailblazers of Improved Analytics
December 12, 2017
“Our data shows that there’s still a big gap between the expected impact of digital transformation and finance’s level of readiness. But top-performing finance organizations are not waiting around until all the statistics look good; they are pushing ahead with exploration and testing of new tools.” While most organizations have a digital strategy, finance lags in the ability to execute it. Still, top performers are blazing a trail for peers to follow and realize the effectiveness and efficiency promise of digital transformation.
Read More at The Digitalist by SAP >
Do You Know the Full Potential of Your Analytics?
December 11, 2017
Data analytics are shaking up multiple industries. McKinsey recently surveyed and found that almost 90% of executives reported that their organizations were only somewhat effective at meeting the goals they set out for their data and analytics initiatives. In many cases, the culprit is a gap between launching a few analytics experiments and embedding these insights into the operating model of the larger organization. Many companies invested in analytics systems without fully appreciating that turning data into real value requires a profound reshaping of their day-to-day workflow. Others are still lagging behind in terms of fully digitizing transactions and processes to generate and collect all the data that could be useful.
Read More at The Harvard Business Review >
Key Challenges for Monetizing Your Data
December 7, 2017
Have you been focused on analyzing the data rather than extracting intelligence from it and taking quick action on that information? If the answer is yes, you haven’t been leveraging your data to its full potential. It’s possible to transform your big data into an amazingly accurate predictor using process-centric and process-embedded AI and machine learning. In order to do so, you have to overcome the three biggest challenges in the quest to monetize big data: complexity, consumerization and continuity.
Read More at Forbes Magazine >
