CFOs are responsible for more than ever before. From overseeing their teams to providing essential decisions, there are a lot of moving pieces to consider on the daily job. With big data and technology, there exists more inputs and outputs to be scrutinised. To remain compliant and ahead of the curve, data analysis tools can help to make your life as a CFO easier. The analysis provided by these tools can help you to lower costs, increase efficiency, reduce compliance risk and monitor the market.
By using automation and machine learning, these tools will transform your business for the better. As a CFO, you have to be concerned about the timeliness of information, accuracy of data, as well as security measures. Software systems and data analysis tools are there to tackle all of these concerns.
But, how do you choose the tool that is right for your needs?
We will outline what to look for, as well as stack up some competitors to weigh their pros and cons. Every tool has its respective team available for support and questions. This guide is meant to serve as an introduction to some of the top-ranking tools in the marketplace.
Data analysis tools rely on the outlined steps below to provide accurate information. As such, it’s essential to collect complete data that help to answer questions that work to achieve business goals.
You will want to make sure that your chosen data analysis tool performs the below, or can connect with another tool to create a robust solution:
SolveXia is human analytical automation software that centralises data and provides real-time analytics and data dashboards. It is made for everyone on the team to be able to use. It can store processes and automate models, and everyone in the organisation can use it for all data systems, including legacy systems. This helps to provide error-free data, maximise compliance, remove low-value manual tasks and avoid any bottlenecks within your business.
Zoho Analytics is a data analytics tool that allows users to visualise data. It’s a self-service software and Business Intelligence platform.
Sisense is an analytics software designed to meet the needs of any business user. It has customisable dashboards and easy-to-use.
IBM Cognos Analytics is an AI business intelligence tool made to prepare, explore and share your data.
Periscope Data provides data warehousing, mining, and storage solutions for businesses. It is a web-based system compatible with Windows and Mac.
R is a programming language that is used for statistical analysis. Software automation tools use R, but you can also choose to set up analysis yourself using this coding language.
RapidMiner provides a visual UI to create models and explain data.
Knime gathers, merges, models and manages data. It is beneficial for operational activities and management.
Qlik is an AI solution for data analytics and strategy.
As a CFO, you probably spend a lot of time worrying about the performance of your and their responsibilities. It feels like there isn’t enough time to answer all the questions from the business and provide the best data for proper decision-making. You want data to be connected and useful, but that may seem to require too many resources.
However, with the use of data automation software and data analysis tools, you can have all the answers at your fingertips all the time.
Data analytics provide a wide array of benefits for any business. They can help to:
These tools are designed to help businesses function optimally. For the most part, they are set up so that anyone can learn how to use them. While some are more user-friendly than others, data analysis tools will make your job as CFO easier to do.
The visual dashboards and real-time analytics provide a 24/7 look at your organisation’s current standing.
The large amount of data that your business has amassed should not go unused, nor should it cause any overwhelm. Instead, it needs to be utilised for pulling essential insights for better decision-making with the usage of data analysis tools.
Data automation and analytics tools like SolveXia work with algorithms to take raw data to a usable level. Finding the tool that is right for your business means outlining your current needs and ensuring the tool can scale with your growth.
Data analytics is not a one-size-fits-all approach. You should talk to your team about their needs. You should also define your business goals to make sure that the tool you choose can help to answer your questions.