Data Management techniques and technologies are progressing, and data is becoming increasingly important to businesses to ensure that organisations make decisions that are both accurate and informed.听As more and more firms are seeking to reap the benefits of using听data to keep up with competition, firms that choose not to take advantage are finding themselves falling behind, as stated by听听
For Data to be useful it needs to be of a high quality. The stronger your data is the more you will get out of it.听Data that is incomplete, incorrect, duplicated, or redundant is commonplace within business.听It can be a result of human error, siloed tools,听fragmented hangovers听from past technology听or misinformed data strategy.听
If you base a decision on bad data, you鈥檙e likely to make the wrong choice.听A research piece by听听has pointed out that bad data represents a sizeable 15% to 25% of revenue for companies 鈥� this is hugely impactful and needs to be reduced.听
New technologies are increasing the importance of data and its quality. We have seen the increase of technologies听such as artificial intelligence and automation having enormous potential, but success with such technologies largely depends on the quality of the data put in. Machine Learning,听for example,听requires large volumes of accurate data.
The stronger the data that听enters a听machine learning听algorithm, the better those results will be.听A recent study by听听highlighted听the rise in data volumes is significantly driving increased volumes of investment in AI and cognitive learning.听
We know that Data is becoming increasingly critical to the operation of firms. What needs to be understood is that data shouldn’t be treated as separate from their other functions. With a rise in issues with compliance regulations are accordingly听evolving and developing.
Compliance is virtually impossible to showcase if your data is disorganised or听poorly maintained.听It鈥檚 now听become way beyond听essential that听companies manage their data effectively.听听
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