New Strategy Generation and Execution Steps
TCS having understood the IT landscape and business of M&S feels the necessity to implement new digital technologies like big data, Cloud computing and Mobility in M&S IT operations map. Digital technologies play a vital role in implementing digital strategy in an organization. Digital business strategy is the blend of IT strategy and business strategy. Definition of digital business strategy is that of formulating organizational strategy and executed by leveraging digital resources in creating differential value. This definition highlights going beyond the traditional view, thinking of IT strategy as a function within firms and recognizing the use of digital resources in other functional areas such …show more content…
Training can be completed in 3 - 4 weeks time and it is important that new team of developers and analyst is aware of Big data implementation. Let’s now look at why TCS needs to implement Bigdata at M&S and how this implementation will add value to TCS and M&S. TCS being trusted partner of M&S, TCS can use this implementation project to establish its brand name among market leaders and can use it as an opportunity to improve its current organizational climate which will motivate its employees to learn new technologies. Big data contains large complex data sets that traditional data processing applications are unable to process. Challenges in dealing with this data include analysis, capture, search, sharing, storage, transfer, and visualisation and information privacy. The term Bigdata often refers to the use of predictive analytics or other certain advanced methods to extract value from data. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk. Analysis of data sets can find new correlations, spot business trends, prevent diseases, combating crime and so on. Scientists, Business analysts and governments often have challenges in identifying large datasets like social media, internet search and business informatics ultimately they are unable to extract data from them. Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s as of 2012, every day 2.5 Exabyte (2.5×1018) of data were created. The challenge for large enterprises is
TCS having understood the IT landscape and business of M&S feels the necessity to implement new digital technologies like big data, Cloud computing and Mobility in M&S IT operations map. Digital technologies play a vital role in implementing digital strategy in an organization. Digital business strategy is the blend of IT strategy and business strategy. Definition of digital business strategy is that of formulating organizational strategy and executed by leveraging digital resources in creating differential value. This definition highlights going beyond the traditional view, thinking of IT strategy as a function within firms and recognizing the use of digital resources in other functional areas such …show more content…
Training can be completed in 3 - 4 weeks time and it is important that new team of developers and analyst is aware of Big data implementation. Let’s now look at why TCS needs to implement Bigdata at M&S and how this implementation will add value to TCS and M&S. TCS being trusted partner of M&S, TCS can use this implementation project to establish its brand name among market leaders and can use it as an opportunity to improve its current organizational climate which will motivate its employees to learn new technologies. Big data contains large complex data sets that traditional data processing applications are unable to process. Challenges in dealing with this data include analysis, capture, search, sharing, storage, transfer, and visualisation and information privacy. The term Bigdata often refers to the use of predictive analytics or other certain advanced methods to extract value from data. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk. Analysis of data sets can find new correlations, spot business trends, prevent diseases, combating crime and so on. Scientists, Business analysts and governments often have challenges in identifying large datasets like social media, internet search and business informatics ultimately they are unable to extract data from them. Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s as of 2012, every day 2.5 Exabyte (2.5×1018) of data were created. The challenge for large enterprises is