Data preparation is an integral part of designing enterprise software systems today using machine learning and AI. Enterprise scale businesses and government organisations often deal with terabytes and petabytes of data. Read More “Six Important Data Preparation Steps for Machine Learning “
According to the National Cyber Security Alliance, 60% of SMEs & SMBs that are hacked go out of business within 6 months. Running a business is a risky proposition. Developing and maintaining a successful business in the technology driven age can be quite difficult. When it comes to security, a data breach can quickly escalate into a devastating event that has the ability to completely ruin a brand.
IBM reported that the average total cost of a breach ranges from $2.2 million to $6.9 million, depending on the number of compromised records. The average loss rises to $6.9 million when the number of compromised records are 50,000. It is $2.2 million for less than 10,000 records.
One thing that businesses cannot afford today is delay. When it comes to crucial decisions and actions, organisations rely on data. They must get the relevant information real-time. This involves aggregation of data from various sources, authenticating and validating it, before it can be presented to the relevant stakeholders for taking action. Delivering the right information, to the right person & at the right time is crucial for business. However, businesses are employing multiple IT systems and find it hard to aggregate data. An integrated interface with realtime connectivity and visualisation of data is a pressing need for organisations. Here we look at the things that Drive data integration for organisations: