You need to make data-driven decisions for your business. What software can help you do that?

Software that allows you to accumulate data and generate analytics is the basis for the successful implementation of a company's strategy. If you have access to real-time data, it will be easier for you to manage your processes.

For analysis, it is important to choose software that will help you make comparisons, build graphs, and quickly identify patterns as flexibly as possible. Please note that the tool is as flexible as possible in the area of report generation.

Competent data visualization allows us to speed up management processes and establish communication between teams at different levels. It is very important to find the right visualization of the results we present.

Data visualization is a very important metric for SaaS companies and in my experience, Tableau serves this really well. The right charts, KPI and metrics ensure planning and execution are reaching where it should.

One of the tool that I really saw helped customer quickly connecting to all types of data sources using hundreds of connectors supporting all types of data format and create visualization and insights supported by fully managed autonomous database is Oracle Analytics Cloud or OAC. It's a easy to implement and customer can get started in few days to start gaining insights from data. The backend infrastructure, management and security and scale are all managed by oracle.

Forget fancy software and consulting giants - the key to truly data-driven decisions lies not in tools, but in the data itself. Focusing on data quality, relevance, and accessibility is what separates insightful choices from misguided stumbles. First build a rock-solid foundation of accurate and meaningful data, then unleash its power with strategic analysis. That's how organizations will make decisions that stand the test of time.

Before you even start searching for a tool. I cannot express the importance of implementing data governance across your organization with practices and policies. For example, ensuring you have data stewards who are going to be directly responsible for establishing data hygiene processes, determine levels of accessibility, how-to's on handling and disposal.

For data-driven decisions, consider tools like Tableau, Power BI, Google Analytics, SQL/R/Python for analytics, Salesforce for CRM insights, IBM Watson Analytics for AI-powered insights, and platforms such as Looker and Domo for data exploration and visualization.

Forget fancy software and consulting giants - the key to truly data-driven decisions lies not in tools, but in the data itself. Focusing on data quality, relevance, and accessibility is what separates insightful choices from misguided stumbles. First build a rock-solid foundation of accurate and meaningful data, then unleash its power with strategic analysis. That's how organizations will make decisions that stand the test of time.

More important than which software you'll use to collect, analyze, and visualize data is to strategically and objectively understand a few key points: 1. What questions am I trying to answer with this data? 2. Which metrics are truly relevant, and which ones are vanity metrics that won't contribute to answering my questions? 3. Now that I know what information I want to extract or identify as bottlenecks and opportunities, how I will collect and organize this data? Note: Now is the time to start thinking about the platform. 4. With the information and data in hand, how I will categorize them based on classifications and rules that I already use in my business? 5. With everything in place,are you ready for a data storytelling