No matter what type of business you are in, you have data and it’s important!
But like many companies, your data may be scattered and located in a lot of different places – which is a big problem and the number one reason you need a data management firm.
Data that’s undiscovered or not clean, hurts the health of an organization. It prevents you from understanding what is working, what is not, and what you need to do better.
Getting a grasp on your data is critical to your success and planning for the future. Getting it right makes all the difference. Here are some critical questions to answer:
• Where is all the data that’s relevant to your business?
• Can you access it quickly when you need or want it?
• Do you know if it’s accurate, current, clean and complete?
• Can you easily pull all the data together, no matter what format it’s in or how often it changes?
If you answered “no or not sure” to any of these, you need data management. Data is the foundation to every decision your company will make. You simply can’t function optimally with corrupt or missing data and you certainly can’t use it for analytics.
Here are five best practices that will prepare your data for analytics.
- Simplify access to traditional and emerging data. More data means better predictors – bigger really is better when it comes to data used for business analysts. Access to more data makes it easier to determine which data will best predict an outcome.
- Strengthen the data management arsenal with advanced analytic techniques. QuickData provides sophisticated statistical analysis capabilities. Our analysis identifies outliers and missing values that can skew data.
- Shape data using flexible manipulation techniques. Preparing data for analytics requires merging, transforming, de-normalizing and sometimes aggregating your source data from multiple tables. We use reshaping transformations like frequency analysis, appending data, partitioning and combining data, and multiple summarization techniques.
- Share metadata across data management and analytics domains. A common metadata layer lets you consistently repeat your data preparation processes. This promotes collaboration, better productivity and flexibility.
- Scrub data to build quality into existing processes. With a data quality platform designed around data management best practices, you can incorporate data cleansing right into your data integration flow.
- Analytics is the hottest IT topic – Remember: Underlying analytics is data. Don’t underestimate how important it is to do data right!
Quick Data is a data management company that prepares clients for growth and success. Data management is just one of the ways that we do this. We teach your company to cut down on inefficiencies and how to optimize your revenue with a state-of-the-art automation program that uncovers and solves data related problems.
