2005년 6월1~3일까지 Santa Barbara에서 열렸던
eMetrics Summit 의 주요 22개를
정리했다.
개략적인 주요 이슈내용을 살펴보면 효과측정 데이터의 정확성 및 기업의 비즈니스 전략 및 마케팅실행에따른 메트릭스 지표 설계로 압축될 수 있다. 특히 메트릭스 지표의 경우 기존의 결과중심 메트릭스에서 고객의 행동 및 반응에 따른 과정 및 실행중심의 메트릭스이 필요성 과 다양한 마케팅 채널 연동에 따른 멀티채널 분석의 필요성이 대두되고 있다.
The following is a master list that outlines the 22 issue themes that came up:
- Hiring people.
- Data proliferation: multiple sources, reports, and integration.
- Lack of standard definitions, benchmarks, templates, and expectations
- Political issues: management buy-in; IT vs. business unit objectives; resources and reporting vs. analysis.
- Silos: multiple resources going in different directions.
- Accuracy: tool limitations (or perceived limitations), cookies, data misinterpretation, and defining acceptable discrepancies.
- Lack of actionable metrics.
- Identifying a few critical Web and success metrics.
- Understanding business goals well enough to know what to measure; and connecting Web metrics to business key performance indicators (KPIs).
- Measuring income/revenue versus loyalty metrics, or conversion versus lifetime value.
- Branding metrics.
- Segmenting customers online.
- Prioritize and determine the best opportunities to pursue.
- Having a process to create dashboards.
- Education for all team members throughout the organization.
- Defining functional roles for managers, analysts, and consumers of data.
- How much data should be kept.
- Six Sigma.
- Integrating with marketing and consumer data.
- Vendor and implementation over-promising.
- Inability to make incremental changes.
- To be successful in analytics is hard work.
관련기사:
Hot Web Analytics Topics From Jim Sterne's eMetrics Summit
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