Business analyticsdescriptive analyticspredictive analyticsprescriptive analyticsmachine learningnetwork sciencePrescriptive analytics is considered as the next frontier in the area of business analytics. It provides organizations with adaptive, automated, and time-dependent courses of actions to take advantage of...
We will look at ways to manage uncertainty, approaches to dealing with insufficient resource coverage, and the role of road maps in consistent value delivery through business ... Get The Value of Business Analytics: Identifying the Path to Profitability now with the O’Reilly learning platform. ...
One of the key values of the banking industry has been its 'Customer-Focused' mindset, but in the new era, the trend is moving to being 'Customer-Centric'. This is because advances in technology and communication, combined with an explosive growth in data and information, have given rise ...
Agile development is an ever-evolving process, and as a business analyst, you must continually update your knowledge and skills to stay relevant. Invest time in learning agile principles, methodologies, and techniques. Engage in training programs, attend industry events, and actively participate in a...
future financial needs. This can result in missed financial targets and increased financial risks. Using budgeting software, integrating relevant data sources, and leveraging advanced analytics can enable real-time budget tracking and visibility to improve accuracy and responsiveness in the budgeting ...
The use of conventional analytics in business decision-making can lure enterprises into a false confidence when it comes to analytics governance. But advanced analytics requires a new mindset, a new framework and new roles to maintain data quality.
Nowadays, the tremendous increase of data through the Internet of Things (continuous increase of connected devices, sensors and smartphones) has contributed to the rise of a "data-driven" era, where big data analytics are used in every sector (agriculture, health, energy and infrastructure, ...
Filtering data based on business rules applicable to planned analytics. Augmenting data with additional internal or external sources. Deriving additional data in an existing data set. But enriching data isn't an easy task. Deciding what needs to be done in a data set is often complicated,...
Data analytics can’t be effective without organizational support, both from the top and lower-level employees. Risk managers will be powerless in many pursuits if executives don’t give them the ability to act. Other employees play a key role as well: if they do not submit data for analysi...
How about your analytics in 2021? A new year means a fresh approach to what’s coming up next in the following months. It’s crucial to be aware of the challenges and opportunities to make the most of your business strategy (or work on improving it). But let’s leave motivational tips...