Why It Fumbles Analytics Tech Projects Should Focus Less on Technology and More on Information  

Oleh:

Peppard, Joe ; Marchand, Donald A.

Jenis: Article from Bulletin/Magazine - ilmiah internasional
Dalam koleksi: Harvard Business Review bisa di lihat di link (http://web.b.ebscohost.com/ehost/command/detail?sid=f227f0b4-7315-44a4-a7f7-a7cd8cbad80b%40sessionmgr114&vid=12&hid=105&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#db=bth&jid=HBR) vol. 91 no. 1 (2013), page 104-112.
Topik: Data; Internal Sources; External Sources; IT Spending; IT Projects; IT Development

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: HH10.46 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are spending heavily on IT tools and hiring data scientists. Yet most are struggling to achieve a worthwhile return. That’s because they treat their big data and analytics projects the same way they treat all IT projects, not realizing that the two are completely different animals. The conventional approach to an IT project, such as the installation of an ERP or a CRM system, focuses on building and deploying the technology on time, to plan, and within budget. The information requirements and technology specifications are established up front, at the design stage, when processes are being reengineered. Despite the horror stories we’ve all heard, this approach works fine if the goal is to improve business processes and if companies manage the resulting organizational change effectively.

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