August 9, according to foreign media reports, the famous expert Tom Davenport (Tom Davenport) pointed out in the new book "Only human beings need to apply: the era of intelligent machine era" in the fourth wave of information age Coming. Since the arrival of the information age in 1975, the fourth wave of information age is accelerating under the impetus of big data technology.
The accelerated development of big data technology makes the data more and more prominent in the enterprise. A growing number of large companies are beginning to see the data they own as a key business asset that will effectively enhance business value. According to a recent survey released by New Bigage Partners, a big data consulting firm, 62.5% said they aggressively applied big data technology, up from 31.4% in 2013. As businesses begin to recognize the central role of data in success, more and more companies are beginning to build the company's data culture and apply data to make decision analysis.
In the past, most companies placed the data at a secondary place. Data analysis is often the responsibility of data architects or analysts. The performers of these data analyzes seek to improve the position of data analytics in the company. A company executive who values ​​data analytics and believes the data has huge business value has said "data analytics were not well placed in the company ..." But over the past five years, with the advent and popularity of big data technologies This situation has changed.
Big data technology enables deep, effective analysis of data and is a potential force behind the company's decision-making. Proponents generally agree that big data technology is a powerful tool for business competitive advantage. Because of this, an industry leader often needs an organizer and leader in the field of data, a new location called Chief Data Officer (CDO).
The birth of the first chief data officer stems from the world financial crisis of 2008-2009. New regulatory rules and laws have higher requirements for the quality, accuracy and transparency of corporate data, with data privacy and data reporting facing more rigorous scrutiny. Banks and the financial industry appoint Chief Data Officer to meet regulatory regulatory needs. Its main responsibility is to be responsible for the data required by regulators to ensure the reliability and transparency of data quality. In a sense, the role of the first-generation chief data officer is to defend.
Now, the chief data officer has gained a firm foothold in the corporate structure, as can be seen from the following:
According to a recent survey released by big-time data consultancy Newantage Partners, only 12% of CEOs surveyed were CIOs in 2012, up from 54% in 2016;
The Chief Data Officer International Association was established in January this year at the Massachusetts Institute of Technology in the United States to enhance the exchange and liaison among chief data officers of companies.
Market research firm Corinium Intelligence held its chief data officer forum in New York in June this year with world-renowned companies such as Bank of America, Bank of China, Capital One, Citigroup, JPMorgan, Morgan Stanley, TD Ameritrade and Toyota Financial Services Attend
From July 12 to July 14, the Massachusetts Institute of Technology held a Chief Data Officer Seminar with nearly 300 participants, mainly from various industries such as financial services, life sciences, government agencies, and defense industries Chief Data Officer.
Now that the CIO has become a regular position for most companies, companies are also realizing the importance of developing management data, developing data processing processes, and following applicable laws and regulations. Now that businesses have reached a consensus on the importance of data, data is an important corporate asset and managing data requires some leadership. With the gradual deepening of the information age, the role and responsibilities of the CIO need to be further clarified.
For organizations interested in business innovation and business transformation, the data strategy is not limited to meeting regulatory needs and maintaining a defensive posture. Businesses should take more advantage of the data in terms of market insight. An innovative company will use data as an offensive weapon to develop informational products based on its decision-making. It will take various measures to continuously disrupt its competitors and thus gain market advantages. At the same time through the data management to obtain market-oriented.
For the chief data officer, the question of how data management can be balanced is still a huge challenge. Many companies are beginning to seek ways to break through the iterative learning continue to play the role of data. Keep trying, learn faster, in this way continue to achieve "quick win", enhance corporate reputation and create business value. The direct reason for this approach is the introduction of new data access and processing methods by big data technologies. Enterprise learning iterates faster than traditional data access and management methods, and data can even reach business analysts in minutes instead of days or months.
In addition, for chief data officers, strengthening organizational cooperation is also a key element of their business success. Now that CIOs are already in the same position as Chief Financial Officers and Chief Operating Officers, their in-depth cooperation with CIOs can better leverage data and deliver better business value. As one chief data officer explained, "the chief data officer really means the chief diplomat."
We live in an information age where the importance and centrality of data grows. No matter how the role of chief data officer changes, the commercial value of the data will only be higher and higher. As we accelerate the information age, every business needs to appoint a chief data officer to manage the data and plan for the future. The big data technology will continue to promote the Chief Data Officer to develop enterprise data development plan to promote the realization of the commercial value of the data.
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