As experts in K12 data, Innive is well-acquainted with the unique challenges of implementing self-service analytics in a school district of any size. A lack of budget, resources, or time can make it difficult to achieve. Innive knows how to set your district up for success with cost-effective self-service analytics that meet your users’ decision making needs and serve district goals. After an initial upfront setup, this approach ensures your analytics require low development efforts and reduces dependence on IT teams and data architects.
Get practical advice on the components that make a successful self-service analytics program. Register to watch the live webinar with Innive’s VP of Data Science and Research, John Parker.
Self-service analytics is an approach to data analysis that empowers district users to access, analyze, and visualize information without relying on IT teams. It democratizes data by providing easy-to-use tools and platforms that enable users to explore and understand trends, generate insights, and make data-informed decisions.The main goal of self-service analytics is to promote a data-driven culture within a district by making data accessible to all staff, regardless of their technical expertise. This approach helps reduce the time and resources spent on data analysis by IT teams and data experts, enabling them to focus on more strategic tasks.
Innive understands the importance of policies, people, processes, and technology working harmoniously together to create a successful self-service analytics framework. To become more self-sufficient with data and analytics, Innive works with your district leaders and staff to focus on four key activities:
Work with Innive to develop a comprehensive roadmap identifying new/improved technologies and processes required to support data management and analysis. We’ll help determine what supports are needed for delivering integrated data to district and school leaders while addressing all aspects of people, processes, and technology. The roadmap will answer many questions, including, but not limited to: What training is needed to improve data literacy? Do we need a data warehouse? How will we access the data?
We work with your IT staff on the process of collecting, importing, and processing data from various sources to make it available for integrated storage, analysis, and further processing. Based on your district’s infrastructure needs, we will help implement new or improved technologies such as data warehousing, data lakes, and more.
Create and use reliable, consistent, comprehensive datasets that can be easily accessed and analyzed by users to support timely decision making. Incrementally implement datasets, like K12 360° Datasets.
Innive provides initial data visualizations along with empowering the district to create its own visualizations, making it easier to identify trends, relationships, and outliers in data.
We work with district leaders across your district on ways to get district users to accept, embrace, and integrate self-service analytics into their daily lives. Includes live IT staff training, end user training materials, and data governance guidance for leadership.
By providing access to real-time data and user-friendly tools, self-service analytics allows users to tailor their analyses, quickly derive actionable insights and make data-driven decisions, increasing the speed of business processes.
Obtain actionable insights within hours instead of months with readily available datasets that reduce dependence on vendors or data architects.
Self-service analytics promotes a data-driven culture by giving all employees access to the data they need, regardless of their technical expertise.
Self-service analytics reduces the need for dedicated IT and data expert support, leading to cost savings for the organization.