Blog #6 EMBRACING BIG DATA AND MULTI-FUNCTION ANALYTICS TO BETTER MANAGE COMPLEXITY

Student Name : Vanessa 黃妮莎
Student ID : D0726551


Blog #6
EMBRACING BIG DATA AND MULTI-FUNCTION ANALYTICS TO BETTER MANAGE COMPLEXITY
            There are some things that a company can do to manage complexity challenge, they must be able to handle, analyze and share vast amounts of data across a variety of interconnected parts of the business quickly and easily. This will help them to function better and also responds to changes in conditions in an bright manner. Recently, it is very popular for businesses to rely on tools like Artificial Intelligence, cloud technologies, predictive analytics and automated workflows to collect and interpret complex series data and improve critical decision making.
            This data originated from an extensive range of places including machines, people, teams, assets and even 3rdparty partners and analysts that are working in this field. This makes it imperative that C-suite decision-makers and management get clear, actionable insights in real-time in order to respond to complex business issues. Some digital transformations that can support business operation in more supple and bright what is if they have the right digital architecture on their plate. By having that, this firm can enhance the creation of yields and better control costs, improve the performance of workers and assets in the field and also improve the visibility of critical insights across the business to drive better decision making.
            A type of company that will really need to manage their complexity is oil and gas companies. The size of data collected within the O&G sector means that managing, analyzing  and understanding how best to control it is the most significant points to planning business strategies. For instance, this start of 2020, forecasts can change so rapidly and conditions, this can impact the supply and demand of O&G and downgrading growth estimates.

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