Importance of analytics for e-commerces
Picture this: You plan on going to a new restaurant in 2 weeks time; and your car broke down in front of the restaurant so you resolve to dinner while it's being fixed. What is the difference between the 2 scenarios above? Well, the first scenario is called a structured decision situation, where you planned ahead. The second scenario is the unstructured decision situation, where you didn’t pre plan anything.
Now, take this analogy to your e-commerce business. What kind of data do you have to deal with? If you said Structured and Unstructured Data, you got it right. Your e-commerce mainly deals with with these 2 types, the structured data focuses on demographic data like name, age, gender, date of birth and preferences, address and preferences. The Unstructured data includes links, likes, clicks, voices, tweets etc. Dealing with them both to generate insights in a real-time manner can significantly increase your overall sales.
Problems when using different solutions
E-commerce giants have been using big data analytics to do real-time promotional offers and many other strategies aiming at customer satisfaction and profitability, of course. But dealing with big volumes of data brings challenges even to the giants, nonetheless. The integration of big data from different sources and formats, calls for really fast analytical procedures and machine learning techniques to increase the speed of data processing and analysis.
So does it mean if you’re not a giant e-commerce business who spends 6-7 figure building its own data warehouse and complex infrastructure you are automatically out of business? Not exactly, there are plenty of DW options in the market, but the problem is: when you choose traditional databases, your e-commerce data-driven goals are compromised because you have to use many separate tools to turn your big data into analysis and consequently action, while still having to configure and manage these solutions, spending your time on what was not expected.
How SlicingDice completely solve these challenges
With the intent of solving the issues mentioned above, The All-in-One Data Warehouse, provided by SlicingDice has integration tools compatible with most established ETL, Business Intelligence, Data Visualization and Machine Learning tools in the market - and it enhances its compatibility constantly. SlicingDice ensures you that whatever tools you want and need at any given time, no matter if it’s within its built-in tools, the ones you already use or others. By using The All-in-One Data Warehouse you save time and money by avoiding expensive and complex integrations among multiple suppliers.
Combined with being fully managed, you can power on, in a single day, a data warehouse that provides all the fundamental tools used by technical and business people to transform your e-commerce business raw data into insightful business-oriented decisions. And that can store any data type, without planning ahead how data will be used or worrying about migrations in the future while still being able to adapt and scale as needed. This enables the establishment of a company-wide data-driven culture in a fraction of cost and time, providing you the same weapons the giants in market have at a feasible cost for your company.
Effortless data integration.
Connect to 150+ different sources with our load & sync module. Automatically or manually ingest data. All with a few clicks.
Increase value and revenue.
Deeply customizable data visualization module, enabling analytics to be embedded with an iFrame code. Increase your applications' value.
Real time streaming and visualization.
Stream data and analyze it in real time. Perform queries and see dashboards updated as fast as you need.
Schema and data type flexibility.
Store time series and non-time series in the same database. Store data with different structures. Query it all together for deeper insights.