This paper examines how enterprises can move beyond information overload by developing coherent strategic frameworks that give meaning to the vast volumes of data generated through Big Data systems, cloud computing, and social networks. Rather than advocating for more technology, the paper argues that Business Process Management (BPM) frameworks must underpin all IT investments, ensuring that data initiatives align with core business strategies. It reviews the evolving role of the Chief Information Officer, the implications of high-performance analytics platforms such as Hadoop, and the contextual intelligence that social networks provide. The paper concludes that data, like fuel, only drives an organization forward when paired with disciplined strategic focus.
The paper demonstrates synthesis across practitioner and scholarly sources to build a single cohesive argument. Rather than summarizing each source in sequence, the writer weaves multiple references together within each paragraph to support a unified claim — for example, using Kalpic & Bernus (2006) alongside Collett (2011) to show that process frameworks must precede technology investment. This technique elevates the paper from a literature summary into a genuine argumentative essay.
The paper opens with a problem statement identifying information overload and the limitations of technology-first responses. The second section develops the organizational framework solution, centering on BPM and the strategic role of the CIO. The third section surveys the Big Data landscape — Hadoop, cloud, social networks, MDM — and argues these tools only deliver value within a strategic process context. The conclusion returns to the central metaphor, reinforcing that frameworks and focus, not data volume, drive competitive advantage.
Given the exponential increase in data being generated across enterprise systems, social networks, and legacy IT infrastructure, ensuring that a consistent set of frameworks and objectives is used to bring relevance to this data has become critical. The tendency to "boil the ocean" of data through Big Data initiatives — including Hadoop, an open-source analytics platform — has recently emerged as one viable alternative (McKendrick, 2012). Yet too often the ability to ingest literally terabytes of data and analyze it is of limited use without a consistent, strategic framework to make use of it (Rogers, 2011). Too many IT organizations fall victim to speeding up mediocre reporting and analysis processes without first thinking about how to bring greater value to their strategic initiatives through that data (Daly, 2011). The answer to this dilemma is not found in more technology; it is found in creating a more effective strategic framework to bring meaning to the data (Kalpic & Bernus, 2006).
The role of many Chief Information Officers (CIOs) is one of providing the IT "dial tone" — ensuring that existing IT systems and resources are stable enough to sustain the core functions of a business over the long term (Henschen, 2011). Yet this role of being the keeper of the "dial tone" carries more risk than many CIOs would care to admit, as they are continually being pushed toward becoming strategists who support their company's core business functions. This focus on strategic planning has many CIOs — the majority of whom are primarily technologists — viewing Big Data, cloud computing, and the rapid advances in social media as technologies to be adopted rather than as strategic tools for rejuvenating and transforming their industries. For the CIO to continually add value, they must think more strategically, focused on delivering value above and beyond the "dial tone" and the preservation of the status quo. Maintaining that status quo over the long term will be lethal for any enterprise.
The best practices emerging from this dilemma show potential to reorder how enterprises gain control over the exponential increases in data they generate and integrate. At the foundation of these best practices is a strong focus on creating a Business Process Management (BPM) framework that first defines — and continually modifies — the business processes that support goal attainment. This focus on business processes often escalates into completely redefining the core strategies of a business, in effect completely redefining its core workflows (Kalpic & Bernus, 2006). The reengineering of these processes is what makes it possible for companies to continually grow and remain agile over time. Failure to reengineer leaves legacy processes that hinder an organization's ability to compete, risking the entire enterprise becoming anachronistic and out of touch with its customers (Kalpic & Bernus, 2006).
The focus on creating value through process efficiency is the best practice that pervades companies getting the most out of their investments in information technologies. Taking a more focused approach to creating, fine-tuning, and aligning business processes to strategy is critical for IT investments to pay off over time. These social systems — the definition of workflows and processes across the organization — must be the foundation of the continual growth and evolution of business strategies for IT investments to remain relevant (Collett, 2011). The integration of these business processes throughout an organization's external relationships is also critical for technical systems to stay relevant and agile. The use of IT systems and technologies is therefore secondary to supporting the key business processes that unify an organization. A solid organizational framework can save a company literally millions of dollars in misguided IT investments by ensuring that every information asset and initiative aligns to strategic plans and objectives.
The solution to overcoming information overload lies in creating a series of process workflows and accompanying strategic frameworks that can put the massive amount of data being generated into context. Social networks have completely transformed marketing — from initial prospect contact through customer service — not because of the data sets themselves but because of the contextual intelligence they provide (Bernoff & Li, 2008). It is important to keep in mind that the overarching and far more challenging goals companies must accomplish to survive require using this data as valuable fuel for the journey. Data, like fuel, cannot get a company to its strategic destination on its own; only a solid framework and disciplined focus can.
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