By 2018, half of business ethics violations will occur from big data analytics
GN Bureau | October 10, 2015
Analytics deliver best business values if put to proper use and correctly interpreted. However, big data analytics come with big risks says Gartner, the world's leading information technology research and advisory company.
"Although big data and advanced analytics projects risk many of the same pitfalls as traditional projects, in most cases, these risks are accentuated due to the volume and variety of data, or the sophistication of advanced analytics capabilities," said Alexander Linden, research director at Gartner. "Most pitfalls will not result in an obvious technical or analytic failure. Rather they will result in a failure to deliver business value."
Failure to properly understand and mitigate the risks can have a number of unintended and highly impactful consequences. Those can include loss of reputation, limitations in business operations, losing out to competitors, inefficient or wasted use of resources, and even legal sanctions.
Gartner also predicts that, by 2018, 50 percent of business ethics violations will occur through improper use of big data analytics. Following key best practices will help analytics leaders to improve the likelihood of success, and they include:
Linking Analytics to Business Outcomes Through Benefits Mapping
Analytics must enable a business decision maker to take action, and that action should have a measurable effect — whether the effect is directly or indirectly achieved. Linking analytic outputs to traceable outcomes using a formal benefits-management and mapping process can help the analytics team navigate the complexities of the business environment, and keep analytic efforts both relevant and justifiable.
Investing in Advanced Analytics With Caution
Many organizations believe that big data automatically requires advanced analytics. However, the data-crunching power required to manage the big data characteristics of volume, velocity and variety does not inherently require any more sophisticated algorithmic processing. It is the complexity of the analytical question to be addressed that drives the need for advanced analytic tools, and in many cases desired outcomes can be achieved without resorting to more sophisticated analysis.
Balancing Analytic Insight With the Ability of the Organization to Make Use of the Analysis
Because analytics can only be beneficial in organizations that are willing to embrace change, it makes sense to limit investment in analytics to a level that matches the organization's ability to use the resulting insights. Analytics may not be the most suitable approach:
In these cases, scenario planning, options-based strategies, and critical thinking should also be incorporated into analytical approaches to better support the organization's ability to take action.
Prioritizing Incremental Improvements Over Business Transformation
Using big data and advanced analytics to improve existing analyses, or to incrementally update and extend an existing business process, is easier than using them to deliver business transformation, because there are fewer dependencies to overcome to ensure success. Care should be taken to validate the level of overall change required. In some cases, deep reform of the business strategy may still be necessary — for instance, when a new disruptive vendor enters a market, when technology innovation changes the business model, or when an organization has become dysfunctional.
Considering Alternative Approaches to Reaching the Same Goal
Few objectives can only be achieved in one way. Statistical modelling, data mining and machine learning algorithms all provide means of testing ideas and refining solution propositions. Big data and advanced analytics help validate proposed hypotheses and open an even wider range of potential approaches to addressing corporate priorities. Not all problems even require a fully engineered analytical solution. Investment may be better targeted on human factors, re-education or reframing the problem.
More detailed analysis is available in the report "Seven Best Practices for Your Big Data Analytics Projects."
Meanwhile, industry trends will be a main focus at Gartner Symposium/ITxpo 2015, November 2-5 in Goa, India.
Every year since 2000, February 21 is observed as International Mother Language Day by United Nations Educational, Scientific and Cultural Organisation (UNESCO). It is to celebrate linguistic and cultural diversity, and multilingualism.
Indian women marrying NRIs, glamorous though it sounds, has recently become a cause of serious concern. The reason for this is the alarmingly high rates of desertion of women marrying NRIs, said a blog posted on the Niti Aayog website. The blog ‘NRI: Non Reliabl
CBI is supposed to be the last resort to catch the corrupt after all other options have not yielded the desired result. But, who will now tackle corruption now that two of the former top officials of the premier investigating agency are themselves facing charges. India is s
Post demonetisation, what are the challenges faced by banks? Post demonetisation, the major challenges are retention of CASA [current account, savings account] deposits, deployment of these funds, impact of spurt/decline in low-cost deposits on MCLR [marginal cost of fund
9.44 The irresistible force of even as powerful an idea as UBI will run into the immovable object of a resistant, pesky reality. So, what is the way forward, always remembering that the yardstick for assessment is not whether UBI can be perfect or faultless but only whether it can impr
Should action be taken against hospitals which have hiked the heart surgery cost?