Join Alan Simon for an in-depth discussion in this video Organize milestones into projects, part of Big Data Foundations: Program Management.
- Take your list and organize the projects by functional area within your organization. Within finance, you'll have projects that will consolidate your existing finance data marts, apply predictive analytics to asset management, and bring SAP data into Hadoop. Over in sales and marketing, your Big Data projects will include sales data mart consolidation, applying predictive analytics to sales analysis, and building a social media sentiment and passion dashboard.
Big Data will be very valuable for IT with projects on your list such as streaming network and weblogs into Hadoop, streaming system performance data into Hadoop, and then building advanced analytics for your IT program and project portfolio. Now, consolidate all of those functional and organizations into specific lists. Because of the cross-functional nature of Big Data, you'll likely have some overlaps with any given project appearing on multiple lists, so look for overlapping projects.
As you consolidate, begin to think about relative priorities and dependencies among those projects regardless of the organization they happen to be in, and make sure that you socialize your work in progress list for as much feedback and input from others as possible. Collaboration is a key aspect to your Big Data program, and you want to make sure you keep your stakeholders and others engaged as much as possible.
Interested in leading the charge? Manage Your Organization's Big Data Program is for business intelligence professionals who are tasked with implementing a big data and analytics program at their companies. Alan Simon explains the role of program managers, their desired skills, and the people they need on their core team. After the preliminary steps—defining program direction, budget, and initial projects—Alan helps map project milestones and define the KPIs to help track their progress. In chapter 6, you survey the risks to the program, from financial and technological standpoints. By the end of the course, you'll have the skills to be successful in a big data leadership role—and drive data-driven insights throughout the enterprise.
- What makes a good big-data program manager
- How to recruit members of a big data team
- Defining the program direction
- Creating an initial list of projects
- Identifying allies and adversaries
- Determining program milestones
- Managing milestone progress
- Assessing program risks