Self-Service – Business Intelligence
Self-Service The responsibility for delivery has been shifting from the IT area to the business area. Driven by business’ desire for more control and ownership, business teams responsible for digital delivery often have little or no link to the IT department. While this is a positive trend, there is a risk that organizations will become
NAT gateways – Infrastructure Security – Keeping Your VPC secure
NAT gateways An IGW serves as the bridge that enables communication between your VPC and the internet, allowing resources with public IP addresses to send and receive traffic. A network address translation (NAT) gateway, on the other hand, is a NAT component that enables resources in private subnets to initiate outbound internet traffic without enabling
Data Literacy – Business Intelligence
Data Literacy As self-service analytics is getting traction, it is essential to have the ability to write, read, interpret, and understand data across the enterprise. Individual knowledge workers should have the ability to understand the analytics regarding business value or outcome. Data and analytics are pervasive in all domains of business. Data literacy is fundamental
Analytics Governance – Business Intelligence
Analytics Governance We explained and discussed data governance in Chapter 6, “Data Democratization, Governance & Security,” in detail. However, as we discussed about data governance, people sometimes get confused that it deals more with enterprise data management governance: policy and procedures for analytics pipelines governance. As it is similar to data stewardship, analytical stewardship need
Data Strategy – Business Intelligence
Data Strategy A data strategy is defined as a set of choices and decisions that will guide and enable a high-level course of action to achieve high-level business goals. Data strategy has the following purposes: • Alignment with business and providing guiding principles • Data strategy defines the vision, mission, and goals of the data
Step to Create Data Strategy – Business Intelligence
Step to Create Data Strategy There is a ten-step process to create a data strategy document, as follows: 1. Build awareness: This is a first step that creates awareness of the issue and acknowledges the need to create an enterprise strategy and enterprise program. To do so, create awareness about the pain areas related to
Data and Analytics Approach and Strategy – Business Intelligence
Data and Analytics Approach and Strategy The strategy of an organization flows from business strategy to information strategy, which includes application and data strategy. It is essential that information strategy matches with business strategy. Information strategy consists of application strategy, data strategy, business intelligence strategy, and analytics strategy; all of these must align with the
Mappings – Business Intelligence
Mappings The purpose of this matrix is to align the focus of business strategy with data analytics strategy. Like all the programs, questions to be answered include, What is the value or value proposition for our customers in terms of providing data insights? What business process and response changes give these new insights? Figure 7-11
Step to Create Data Strategy 3 – Business Intelligence
7. Develop a roadmap: Create a roadmap based on any recommendations. This roadmap could range from three to five years. For example, you were advised to start and increase the maturity of analytics. This is done in two major steps. The first step is to enable access to historical data, tools, and skills for individuals
Step to Create Data Strategy 2 – Business Intelligence
6. Develop Recommendations: After developing vision and goals, the next steps are to provide recommendations based on the current state, and on the vision and goals for the future. The comprehensive solution and recommendations can be from people, process, and technology prospectives. Figure 7-12 demonstrates technical levers to govern data management, like data architecture, metadata,
