{"id":148380,"date":"2019-07-19T06:00:43","date_gmt":"2019-07-19T11:00:43","guid":{"rendered":"https:\/\/www.ict-pulse.com\/?p=148380"},"modified":"2019-07-18T20:18:54","modified_gmt":"2019-07-19T01:18:54","slug":"5-tips-businesses-leverage-data","status":"publish","type":"post","link":"https:\/\/ict-pulse.com\/2019\/07\/5-tips-businesses-leverage-data\/","title":{"rendered":"5 tips for businesses to better leverage data"},"content":{"rendered":"
Although there is a general appreciation about the importance of data, relatively few organisations and businesses have implemented the requisite systems in order to capitalise on the benefits, such as improved competitiveness, innovation and disruption, that can eventuate. In this article, we highlight five tips through which organisations can better leverage the data they possess and can access. <\/em><\/p>\n <\/p>\n The saying \u2018data is the new oil\u2019 has been around for a few years, but many organisations, especially in the Caribbean are still paying lip service to saying, and have not yet begun to mine the benefits of the data they already collect, or can easily generate. Thanks to the Internet, increasingly, organisations, which includes businesses, are required to compete for customers globally, and need to capitalise every opportunity.<\/p>\n Data is a crucial component through which organisations can improve their competitive advantage. Data can also facilitate disruption and innovation: but the effort must be made to tap into that resource. Below are five tips organisations can implement to help them better leverage the data they possess, and can access.<\/p>\n <\/p>\n It might seem obvious, but to a considerable degree, we might not be truly aware of all the sources of data in our organisations. Some might be readily available, whilst others might need additional thought and resources in order to properly extract it. Hence, one of the first order of business is to get a good sense of the data set that can be generated; their associated formats; and some of the possible outputs (or information) that can be generated when that data is processed.<\/p>\n Conducting an initial data audit will help management to begin to understand the breadth and depth of the data that the organisation can generate. More importantly, the team should also begin to have an appreciation of how through leveraging that data, the organisation\u2019s performance could improve.<\/p>\n <\/p>\n Having conducted the data audit, the next step would be to examine the organisation\u2019s strategy and develop a data strategy. It is emphasised that the data strategy would be informed, and would be underpinned by the organisation\u2019s overarching strategy, as its goal is to help the organisation achieve the goals and targets specified in the latter.<\/p>\n The data strategy should thus aim to manage risks, whilst improving outcomes. However, it would also be beneficial also develop metrics against which implementation of the data strategy can be properly monitored and evaluated.<\/p>\n <\/p>\n When data is seen as an asset to an organisation \u2013 an important strategic tool \u2013 it is prudent that little is left to chance, and that all parties are clear about its role within the organisation. Accordingly, it is recommended that policies, guidelines and standards be established that address, among other things,<\/p>\n In countries that have legislation that address certain data- and\/or information-related aspects, these internal structures ought to be aligned with that legal framework. Additionally, if the organisation, for example, conducts business with European Union residents, it may be necessary for its policies and standards to also be considered against, and possibly aligned with, the General Data Protection Regulation (GDPR) framework.<\/p>\n <\/p>\n Since the recognition of data as an asset within the organisation might be new, some capacity building across the organisation would be necessary. In the first instance, the exercise could comprise sessions geared towards increasing staff members\u2019 appreciation of the data generally, and its strategic importance to the organisation. However, it is expected, and adequate provisions ought to be made, to facilitate access to more intensive and formal programmes in data management and data management tools, for staff members that generate and manipulate data.<\/p>\n It is emphasised that although specific data-related roles and positions can (and eventually should) be created, due to the rapid changes occurring in that area, regular updating of skills ought to be encouraged. Hence although staff members may already possess certain data management-related qualifications, the organisation ought to support their continuous professional development.<\/p>\n <\/p>\n Finally, as the scope and potential impact of data becomes clearer within an organisation, there is likely to come a point where the associated responsibilities cannot be tacked on to a existing position, such as the Management of Information Systems (MIS) department head, or the Chief Operating Officer. The Chief Data Officer would have responsibility for, among other things, ensuing that organisation\u2019s data is properly collected, synthesized into information, and managed. However, s\/he would also be required to continually examine the organisation\u2019s data strategy, and identify ways and means through which to maximise the resources at organisation\u2019s disposal to ensure it remains competitive, efficient and effective.<\/p>\n It is highlighted that establishing a dedicated data management position, and the requisite support team, would require adjustments to the current organisational structure. It would also be crucial for that team to be adequately equipped and resourced, which would require important budgetary considerations.<\/p>\n <\/p>\n In summary, as the global business landscape continues to be competitive, we can longer afford to be nonchalant about data, and leveraging data to benefit an organisation, or a country. The above tips are just some initial steps and considerations. Each of them can be further developed, and customised to suit the needs of the organisation and the industry in which it operates.<\/p>\n <\/p>\n <\/p>\n1. \u00a0Conducted a data audit<\/h3>\n
2. Prepare a data strategy<\/h3>\n
3.\u00a0 Establish policies and standards<\/h3>\n
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4.\u00a0 Staff capacity building<\/h3>\n
5.\u00a0 Appoint a Chief Data Officer<\/h3>\n