Consumer data is everywhere. All social media platforms and application databases contain vast repositories of customer data. Most information related to sales is in the CRM and ERP systems. As technology evolves, more ways of generating customer data come to the forefront. Social listening, IoT, customer surveys and customer feedbacks are the most critical source of trustworthy customer data. In total, these platforms and tools produce Petabytes of data each day.
An excellent database is always the basic
If there were no way to organize and analyze these data, the data experts would go crazy, and the developers would be biting their nails. Thankfully, the sheer bulk of data is not enough to dissuade the data experts, data miners and database admins. Developers can use the data updated and maintained by them to make marketing decisions. That is right. The enormous bulks of data can help people make real-time decisions. It is due to the latest big data analytic techniques that allow the miners to feed data into data models and system simulations and predict the outcome of possible decisions.
Data-driven marketing is real life
Data-driven marketing analysis plays a significant role in determining the market and the future of new products. The customer feedback, surveys, and product metrics can easily tell about the immediate future of any new product. For example – in the event of a new product launch, a company can analyze the positive and negative feedbacks, along with average products sold in the first number of days to understand the public opinion about it. Their decision to continue the production, increase production or stopping the new product altogether will depend on the cumulative market response.
Databases are now the lifeblood of almost all companies, enterprises, and organizations. From NGOs to Fin-Tech companies, everyone needs their customer data to make informed business decisions. The catch is the lack of experienced DBAs, who can tackle the bulk of the data and carry out predictive analysis processes on demand. A remote DBA can help these organizations to keep their DBs updated and ready for use. Any remote database service like remoteDba.comshould is able to guide their clients towards an error-free and excellent performing database. The DBA is also responsible for the security and backup of the databases. Therefore, you will have one less thing to worry about when you do appoint a database admin for maintaining your precious data.
How to find the ideal DBA for data management?
Start by knowing your own business correctly. Find out your business objectives and your requirements for hiring a team of data experts or a remote database management service.
- The DBA should have substantial experience in the data management and data security sectors.
- Your chosen database administrator should have a working experience with big data and data analytics.
- It is favorable if your data expert also has experience working with marketing analysis and marketing management.
- A good DBA should have training and experience in database troubleshooting.
- Since database security is also in their hands, it is expected that they have some experience in handling contingencies. It includes the preparation of backups, disaster management plans, and disaster recovery plans.
- Your chosen DBA company should also provide excellent data recovery plans in the event of any natural or human-made disaster.
Database analytics might seem like a costly process that is somewhat “unnecessary” for customer-based business. However, that is as far from the truth as it gets. Data analytics helps marketing and management teams to make fully informed decisions. Since all the possible parameters are included in the operational model, the decision that leads to increased chances of a favorable outcome in the given circumstances becomes more apparent.
How does predictive analysis feature in all this?
Predictive analysis is an iterative process. Two very similar situations can have very similar outcomes due to trivial differences in the circumstances. The data in the database is a direct reflection of the varying circumstances. Thus the lack of regular updates or the exclusion of specific fields can drastically change the outcome of very similar decisions.
Introduce repetition to remove uncertainty
One way to eliminate the uncertainty of decision-making processes is to include as many platforms of data collection as possible. It is the remote DBA’s responsibility to feed data from all systems including social networking sites, social media, online seller sites, and EPS. All kinds of customer-related data can directly influence the decision-making process.
Database analytics, big data analytics, and predictive analytics are all related. As machine learning and AI become mainstream, these terms will gradually become household for us. We are stepping into a world of predictable incidents and engineered outcomes. It will undoubtedly improve the chances of success and decrease the possibility of mishaps, thanks to the enormous quantities of data from human activities on the web.
Author bio: Sujain Thomas is a big data specialist with a keen insight into marketing for modern businesses. She has long been associated with remoteDba.com. Being a database specialist, Sujain has worked for various companies and helped them identify the best database solutions.
