数据分析
将数据转化为具有更深入见解的可操作商业智能，为快速决策提供信心.
76% of CEO’s indicated they would invest in automation and nearly 40% 的首席执行官认为，如果他们不进行转型，他们的组织在10年内在经济上是不可行的. (PwC Annual Global 2023 CEO Survey)
LBMC的数据分析团队由经验丰富的数据专业人员组成，使用现代数据技术提供尖端的解决方案, robust governance frameworks, and streamlined automation processes. With a proven track record of success across multiple industries, we help you leverage the full potential of your data to drive growth, 效率, 和创新.
What do businesses use data analytics for?
推动业务增长
数据可以提供有价值的见解，为关键业务决策提供信息，从而帮助推动业务增长. By analyzing data and identifying patterns and trends, 企业可以获得洞察力，使他们能够对其运营做出明智的决策, 产品, 和服务.
Improve Decision Making
数据分析可以通过为企业提供对其运营做出明智决策所需的见解来帮助改进决策, 客户, 以及市场趋势. By leveraging the power of data analytics, businesses can make more accurate and informed decisions, leading to improved 效率, increased profitability, and long-term success.
Enhance Operational Efficiency
数据分析可以通过确定可以改进流程的领域来帮助企业优化运营, 优化资源, 降低成本, resulting in reduced costs, increased productivity, and improved customer satisfaction.
What is a data strategy?
A 数据策略 是否有一个全面的计划来利用数据作为战略资产并推动业务增长和优化.
5 Essential Components of a 数据策略
- 业务目标: 定义数据计划的业务目标，并根据数据计划的价值和对业务的影响确定其优先级
- 数据技术: 确定实现每个数据计划的业务目标所需的数据技术和基础设施
- 操作模式: 建立运营模型来定义、设计和构建数据产品
- 数据治理: 实现对数据所有权、数据可发现性和数据质量的治理
- 路线图: Outline the data journey including milestones and goals
整体, 数据策略应该与业务策略保持一致，以便数据支持并加速业务目标的实现.
数据策略 Framework
Analyze the Operating Model
- 人: roles and responsibilities; skills and expertise; data literacy and culture; and talent / recruiting strategy
- 过程: 创新; prioritization and funding; transformation; governance; and knowledge management
- 技术: architecture and tech strategy; operations and maintenance; security, 可靠性, 和连续性, access management; and sandboxing and experimentation
定义用例
- Specific ways the strategy is implemented: profitability analysis; data-driven marketing; management reporting; and customer engagement
数据策略
- 策略
- 愿景
- 任务
Our Approach to Designing a 数据策略 Roadmap
Assessment of the Current 状态
Comprehensive assessment of the following: data inventory; data quality; analytics and reporting; governance and security; IT infrastructure; and business processes
Identify Gaps Between Current and Future 状态
Identify potential improvements: data awareness and literacy; business optimization; data-driven decision making; and data governance
Design a 数据策略 Roadmap
Clearly define a plan that includes: goals and objectives; phased approach; timeline; data analytics capabilities; and data infrastructure blueprint
What is Data Visualization?
数据可视化 以可视化格式呈现数据的过程是否易于理解和解释. 它是企业做出更好决策和获得竞争优势的重要工具.
- Communicate complex info: 可视化帮助利益相关者理解数据并做出更好的决策.
- Identify patterns and trends: 通过可视化可以更容易地发现趋势和识别异常值.
- Support collaboration: Visualizations can be shared and discussed by stakeholders.
- 提高效率: By using visualizations, 企业可以快速确定可以提高效率和优化运营的领域.
- 保持竞争力: 数据驱动的企业可以通过可视化识别洞察力和机会来保持竞争力.
数据可视化是企业做出更好决策的关键工具, 提高效率, 保持竞争力. With the right data visualization strategy, businesses can unlock the full potential of their data to drive growth, 创新, 和成功.
CASE STUDY: 医疗保健 Client
问题: 明升体育app下载客户将数据存储在不同的内部部署系统中，这些系统彼此不协调. 这使得很难获得统一的数据视图并生成有意义的报告. 结果是, the client lacked visibility into key metrics, which made it challenging to make data-driven decisions.
解决方案: To address this problem, we first migrated the client’s data to the Azure Cloud, 这使我们能够协调数据并创建客户端数据的统一视图. With a unified view of the data, we then built custom Accounts Receivable reporting using Power BI, 为客户提供关键指标(如客户余额)的实时洞察, 杰出的发票, 和更多的.
该解决方案允许客户监控其财务绩效, identify potential issues, and make data-driven decisions. With reliable reporting and a clear view of their data, the client was able to optimize their operations, improve their financial performance, 推动增长.
CASE STUDY: Manufacturing Client
问题: 明升体育app下载客户, a large 制造业 company, was relying on Excel to manage their product and sales data. 然而, Excel的局限性使得客户很难获得对其数据的洞察力和可见性, hindering their ability to make informed business decisions.
解决方案: 为了解决这个问题，我们使用Power BI开发了一个自定义仪表板套件. 这使得客户可以轻松地实时可视化和分析他们的数据, empowering them with the insights they needed to make better decisions.
Our work also kickstarted the client’s data strategy journey, 当我们帮助他们从他们的数据中提取更多的价值时，这种情况一直持续到今天.
CASE STUDY: Manufacturing Client
问题: 制造公司可视化其零售商的产品销售百分比变化.
解决方案: We developed a custom dashboard suite using Power BI, 这使得公司能够轻松地识别销售百分比变化较大的地区和商店. 销售团队能够利用这些信息，通过向零售商展示产品的高需求来增加销售额.
定制仪表板套件提供了对销售指标的洞察力和改进的可见性, 使公司能够做出数据驱动的决策，并优化他们的销售策略.
LBMC 数据分析 Leadership
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