Data management is the process of integrating, storing, protecting, and utilizing data in an accessible, meaningful way. No matter the size of your business, your company contains a lot of important data. Without proper data management, you might miss important insights about the scalability of your business. Without a long-term plan and scheduled audits, your business operations could be interrupted by overlooked data errors, poorly utilized tools, and security blind spots. Take a look at some of the common data problems businesses often face and some useful tips you can implement to improve your data management system.
Make data accessible to your workforce.
Data sharing is important to your team’s success, but it can be challenging for your team to access disparate data. The best way to share data is to store it in a standardized format in one centralized hub. Take the time to assess what data needs to be shared across departments or project leads. Depending on the confidential nature of the data being generated, you may only want authorized team members to have access to it. After determining what data needs to be shared, you need to figure out how to integrate your data into a central database.
The practice of finding and extracting patterns in data through analytics, domain expertise, and technology is known as data science. Within the field of data science are data mining, forecasting, machine learning, predictive analytics, statistics, and text analytics.
The simple answer to what is a data scientist is that it’s someone who uses data analytics to solve business problems with a point-and-click interface. Data scientists, data engineers, and data analysts all have data science skills such as analytics skills, data visualization, artificial intelligence, technical skills, and computer science skills.
Organizations can use data science to gain data visualization, data analytics, and actionable insights. Data science works to understand a business problem, integrate raw data, prepare unstructured data, and test, deploy, and monitor models. Before selecting a new data management system for your enterprise, it is important to make sure that the platform you are selecting is robust enough to facilitate all of your big data needs. Reviewing the 2020 Gartner MQ MDM analyst report can help shed some light on which platform offers the most comprehensive solution.
Utilize multi-factor authorization whenever possible.
Unfortunately, many businesses don’t realize they have fallen victim to a security break until months after it happens. Hackers have more than enough time to compromise data before anyone becomes the wiser. With new technologies come new security threats, which is why businesses should take proactive steps to shore up data and accounts. It’s also a smart idea to implement multi-factor authentication for administrative account access and personal web accounts.
Securing your physical base of operations from burglars and intruders is just as important as safeguarding your data. There are several types of video surveillance systems available with motion detection, night vision, 1080p video quality, wi-fi, and continuous recording capabilities. Indoor and outdoor cameras give you the peace of mind that your physical business is safe from attack.
Some wireless security cameras and surveillance systems use cloud storage for video footage in an effort to scale video storage and meet retention requirements. Video records are stored in remote servers that can be accessed anywhere with an internet connection. Cloud storage for security cameras is a smart option for organizations in need of 24/7 monitoring and remote access to video footage.
Embrace a data-centric security strategy.
The more that mobile, the Internet of Things (IoT), and the cloud grow, the more the traditional boundaries of the network disappear. You need to embrace a data-centric security strategy based on an understanding of the data you have and how visible it is to your business operations. You can then work on properly encrypting your valuable data and develop a backup strategy in the event your data is compromised.
Making the right data accessible, utilizing multi-factor authorization, and embracing a data-centric security strategy are some keep tips you can use to improve data security in your company.