No doubt, information overload has become a big problem. No company is immune to it. And no company can avoid a future of exponential increases in the amount of data created and collected. Therefore, it’s no longer a matter of if, but when, a serious plan to manage it all should be developed.
Many executives fear the thought of being dead wrong when making a big decision. It's human nature. So paralyzing is the concern for some people that the decision never gets made.
It is frustrating to see manufacturers still getting caught in traps that certain ERP vendors set. These are a few of the common traps and how to avoid them.
Businesses are taking cybersecurity more seriously but forgetting an important first step when trying to better secure their sensitive data.
If Google unfortunately marks your site this way, here are some recommended steps to get it removed.
Over-dependence on spreadsheets occurs for one main reason: Excel is available on just about everyone’s desktop, and it can be used with little or no training. That’s great for ease of use, and for many purposes Excel functions as a powerful, flexible, accessible tool. But this can also lead to a lot of problems.
The implications for decentralized ledger technology in a transaction-intensive industry like insurance are substantial. Simplifying the claims process, reducing high premiums, helping insurers create niche coverages, benefitting insureds who live in catastrophe or ultra-poor regions, the list goes on. It translates into very real possibilities to transition new and existing models of insurance into the digital age.
Ever wish you could track a visitor’s specific actions on your website after sending him an email marketing message? You can. Once the tracking is in place, the potential for converting visitors into new customers increases substantially.
Not staying current with paperwork necessary for HIPAA compliance, in addition to unencrypted patient information on backup tapes, will now lead to penalties instead of just warnings. Times are changing.
A challenge facing many companies: Using your own data, how could you develop a more predictable sales funnel, one which results in revenue gains that are achieved more reliably and cost-effectively? And how could you optimize for actual sales rather than just leads, most of which turn are poor quality to begin with? Here’s one approach.