Data analytics looks at what happened.
Advanced analytics predicts, automates and optimizes the business.
Ever found yourself at a crossroads trying to decide between data analytics and advanced data analytics for your business? It can be a bit daunting, but let’s break it down together. By the end, you’ll know exactly what each entails and how to make the right choice for your needs.
Think of data analytics as the first step in understanding your data. It’s all about transforming the organization’s data to extract useful info. You collect data, clean it up, transform it into a usable format, and then visualize it to spot trends and insights.
Picture this: a retail store wants to understand its sales performance over the past year. They collect and clean their sales data, transforming it into an easy-to-analyze format. Then, they model this data to identify trends, like which products sold the most and which months were the busiest. With these insights, they can make smart decisions, like boosting inventory for popular products during peak months.
Now, if you want to dive deeper, advanced data analytics is where things get really exciting. This involves more complex techniques and tools, like machine learning and AI, to gain even deeper insights and make more accurate predictions. Advanced analytics can even automate processes within your industry, supercharging your company’s capabilities.
Now, let’s say the same store wants to predict future sales and optimize their pricing strategy. They don’t just stop at sales data; they also collect customer demographics, competitor pricing, and marketing campaign data. Using machine learning algorithms, they build a predictive model that takes all these factors into account. This model can forecast future sales and suggest pricing strategies to maximize profits. The store can implement these strategies and monitor the results in real-time, with the system continuously updating the model as new data comes in.
Here’s where SIFT Analytics comes in. We help businesses tackle the complexities of data analytics by offering both data analytics and advanced data analytics solutions. SIFT enables companies to integrate various data sources, apply modern analytics techniques, and visualize the results through powerful dashboards. This makes the analytics process simpler and helps businesses act decisively with better insights they gain.
Data analytics helps you understand past data and make informed decisions, while advanced data analytics uses sophisticated techniques such as ML and AI to get deeper insights, accurate predictions, automation, and more. By understanding the differences between these two types of analytics and seeing how they can be applied in real-world scenarios, you can better leverage your data to achieve your goals. Whether you’re looking to improve inventory management or optimize pricing strategies, the power of analytics is undeniable.
Ask SIFT to help you harness the power of data to steer your business in the right direction.
Use Case Example: Data Analytics and Advanced Data Analytics
ShopEase, a large retail company, leverages both data analytics and advanced data analytics to enhance its operations and improve customer satisfaction. By tracking past sales data across its various stores, ShopEase identifies top-selling products, seasonal trends, and customer preferences. This data-driven approach enables the company to optimize inventory and make informed decisions about future purchases.
Taking it a step further, ShopEase implements advanced data analytics, using machine learning to predict future customer buying behavior. By analyzing shopping patterns and external factors such as weather and holidays, the company can accurately forecast demand for specific products. This allows them to personalize promotions for individual customers and optimize supply chain processes to reduce waste and improve overall efficiency.
By combining these data strategies, ShopEase has successfully increased profits, minimized inventory costs, and enhanced the overall customer experience.
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About SIFT Analytics
Get a glimpse into the future of business with SIFT Analytics, where smarter data analytics driven by smarter software solution is key. With our end-to-end solution framework backed by active intelligence, we strive towards providing clear, immediate and actionable insights for your organisation.
Headquartered in Singapore since 1999, with over 500 corporate clients, in the region, SIFT Analytics is your trusted partner in delivering reliable enterprise solutions, paired with best-of-breed technology throughout your business analytics journey. Together with our experienced teams, we will journey. Together with you to integrate and govern your data, to predict future outcomes and optimise decisions, and to achieve the next generation of efficiency and innovation.
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