EDITOR ’ S QUESTION

As the complexity of data inevitably continues to grow , proper processes are essential , namely because most traditional workflows struggle to handle the increasingly huge data volumes efficiently . Inherently , this means the business needs to have a strong foundation for managing data , which is the basis for driving these outcomes . Businesses normally have data originating from multiple sources , creating a challenge in identifying bottlenecks or issues that might cause delays and reduce visibility .

It ’ s not uncommon for an organisation to have data , processes and tools all in silos and not know how to put them together . Likewise , teams often use numerous tools , meaning there ’ s no consistency and limited collaboration throughout the organisation – this invariably makes it harder to use data as an asset and limits its potential to generate actionable insights .

The first step is to cultivate a data-positive culture . This means choosing the correct software , investing in security and leading from the top . Clear policies and procedures should also be put in place to avoid siloed data and ensure greater data visibility . IT leaders should take this as a top technology and business priority and strategise the management of complex data , including identifying the challenges . Data security and privacy ( data protection ) is crucial , and processes and tools should be put in place to achieve it .

Businesses should also focus on building an ecosystem that is connected , adaptable and capable of responding to and managing disruption in real time . A crucial part of this is implementing a successful DataOps strategy . This helps organisations achieve enhanced business agility , increase productivity and improve decision-making . The introduction of new technology capabilities such as AI can also make analysing large data sets easier than ever . For example , GenAI tools help with data visualisation and can mitigate the impact of missing or incomplete data .

As data volumes continue to increase , businesses need to focus on approaches that both manage and allow analysis of data , providing insight that benefits the organisation . DataOps tools and new technology will play a crucial part in this , as will a more holistic approach to data throughout the organisation with

It ’ s imperative organisations are working with accurate information ; otherwise , data can quickly become a liability and not an asset .

defined data strategies . Data management will continue to be of utmost importance and will be a top business priority . p

RAJESH GANESAN , PRESIDENT ,

MANAGEENGINE

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