The use of analytics to deliver greater tangible value is one of the most powerful tools a company has in its arsenal. 幸运的是, organizations already have much of the data they need to support better strategic decision-making, increase organization efficiencies and reduce operational costs – in some cases they just can’t see it.
CFGI’s Data and 分析 (DnA) offering helps clients identify and capture meaningful insights from their data to turn information into a competitive advantage. 我们的DnA团队拥有广泛的行业和技术专长, allowing us to deliver actionable insights and measurable impact for clients by:
- Providing ad hoc, deeply transformational and ongoing data and analytics architecture and solutions.
进一步, 我们完全不了解供应商, which enables us to work with our clients’ preferred technologies and platforms to ensure project success. 除了实现和改进工具之外, 数据和模型, we also focus on building new 功能 to certify that your data and analytics program offers a sustained competitive advantage.
Understanding the difference between data and analytics — and the interconnectedness of these two terms — is paramount for achieving actionable insights.
Data 是基础. 它由定量信息和定性信息组成, 观察, 报告中使用的度量和变量, 推理, 讨论和计算. 没有数据，你就无法获得洞察.
分析 是行动. 它允许你利用诊断, 描述性的, predictive and prescriptive methodologies to derive actionable insights from data. 支持工具, 分析和解释, analytics provide data-driven discoveries to guide strategic business decisions. Without asking the right questions, you won’t know what kinds of data to capture.
Data enablement and analytics 功能 are important components of any transformation initiative, 用最有效的策略将DnA与更广泛的, 全公司的目标. 通过将战略愿景与实际成果相结合, 公司可以更快地提高业务成果, more effective decision-making while evolving into a data-driven and analytics-centric enterprise.
Creating a truly data-driven company starts with establishing a strong foundation built on an exploration of the untapped value that resides in your data 今天, while at the same time paving the path toward the actionable insights of the future. CFGI’s recommended foundational data ecosystem is composed of six pillars that support continuous data evolution within a company:
Align strategy, culture and 功能 with desired business outcomes
- Leverage key trends and insights to drive innovation and accelerate change.
Support the evolving needs of the business through accurate, trusted data management
- Drive accountability with agile data governance practices and frameworks.
- Build effective data governance programs to ensure data quality and integrity.
- Become the single source of truth by establishing the highest standards of ethics and trust.
Deliver best-in-class data architecture and solutions that scale with the business
- Enable scalable data and analytics infrastructure to flex with the business.
- Understand the latest trends, and empower teams with the right data and analytics tools.
- Prioritize investments in information, platforms and solution architecture.
- Establish master data governance to ensure data quality throughout the company.
- Provide comprehensive flexibility in planning and analytics applications.
- Enable 功能 for data mining and integrated, cross-functional analysis.
- Adopt data-driven policies throughout the business without compromising quality, integrity or trust.
每一个职能部门都需要切实可行的见解, 角色, process and decision of the business — which means data-driven leaders must understand how to enable their data and operationalize their analytics strategy for the greatest impact.
Transform data into a perpetual source of value by fueling strategic decisions and actionable insights with powerful analytics, 数据驱动的故事叙述和动态建模
- Establish, validate and benchmark operating models and business strategies.
- Enable self-service reporting and analytics to facilitate activity throughout the business.
- Incorporate dynamic variables and “what-if” scenarios to tell a coherent story across the life cycle.
- 支持并购, 以及资产剥离的努力, 使用协同识别和捕获模型.
- Empower teams with centralized reporting and enterprise-wide, self-serviced and actionable insights.
- 在定义公司范围的需求时，探索工具和趋势, 成功部署所需的技能和能力.
- Understand, measure and qualify the business impact of an advanced analytics program.
Use the right tools, methodologies and best practices for analytics success
- 了解可用数据的类型, 以及它们的功能, 在整个业务中来源和使用.
- Drive cross-functional collaboration to deliver better, deeper and more impactful operating insights.
- 使实时，易于访问的数据与简化 技术堆栈.
- Metric threshold activation of repetitive and time-consuming tasks with 亚博电子游戏网站.
- Standardize enterprise key performance indicators (KPIs) and reporting to optimize 财务计划与分析(FP&A) 功能.
- 发现, assess and transform operating models while improving business outcomes of strategic initiatives.
An effective data and analytics strategy is crucial for businesses to not only survive — but thrive.
If you are thinking about transforming your organization through the use of data and analytics, 我们很乐意听到你们的目标和挑战. 电子游戏网站 今天.