DAT 205 Module Four Data Analytics Lifecycle

DAT 205 Module Four Data Analytics Lifecycle Template Vanessa Phipps DAT-205 SNHU 20 September 2023 Create a diagram of the phases of the data analytics lifecycle (DAL). Briefly describe the key points of what occurs during each phase. PHASE 1: Discovery. During this phase the teams learn the organization domain. They study the history of the problem to determine this project has been attempted before to learn of past failures and successes. The evaluation of people, technology, time, and data available to support the project is conducted. During this phase, the team frames the business problem that needs to be examined and the analytical challenges that may be addressed in future phases. PHASE 2: Data Preparation. Data preparation and preparing phase involves gathering, processing, and filtering the collected data. One of the most important aspects of this step is to make certain that the data that is required for the project is available for processing. Gather the data from external sources. Construct new data points using digital technologies or manual data input procedures, within the business. PHASE 3: Model Planning. During this phase, workflow, methods, and process is formed by the team to help with the model building phase. The data is further researched to determine the relationship between variables. Model planning is the name given to this stage of the data analytics process, to create a model that uses the data to accomplish the goal. ELT (Extract, Load, and Transform) loads raw data into the sandbox before modifying it. PHASE 4: Model Building. This stage of the data analytics Life Cycle involves producing data sets for 1
testing, training, and production. Models are built and executed. Diagnosis of the sufficiency of existing tools, environments, and workflows are considered during this phase. Using tools and methods like regression techniques and neural networks to create and run the model. Also run the model through a trial run to see if it matches the datasets. PHASE 5: Communicate Results. It is time to see if the tests you ran in the previous phase-matched those criteria. The communication process begins with participation with key stakeholders to decide whether the project's outcomes are effective or not. Determining the business value associated with the outcome and creating a narrative to summarize and communicate the results to stakeholders. PHASE 6: Operationalize. In this phase, the team unveils final reports and scientific documents. They may also run a pilot project to apply the models created in a production environment. Select one phase of the DAL. PHASE 3: Model Planning. Describe a data analyst's role in your chosen phase. A Data Modelling Analyst typically starts a Modelling project by interviewing business stakeholders to collect needs and details about business processes. Business Analysts can assist in the development of both Conceptual and Logical Models. They envision relationships between critical business concepts and establish an entity-relationship diagram. The analyst creates a conceptual data dictionary to convey critical data requirements to business stakeholders. They construct a data map to resolve any data complications. The data analyst analyzes data objects and their relationships with other objects. Then, the analyst uses the information derived to research data requirements for various commercial tasks. They build data models with the goal of storing information in a database. The focus is on what data is required and how you must organize it. A Data Model is like a blueprint for construction projects. They capture the design of a complex software system in an easily understandable graphic. The graphic will be built with Text and Symbols to show how the data will flow. It is often referred to as a plan for new construction. Cite all references in APA format. (2022, October 31). Data Analytics Lifecycle: An Easy Overview For 2022. U Next Learning Pvt. Ltd. Retrieved September 20, 2023, from https://u-next.com/blogs/hr-analytics/data-analytics- lifecycle/#:~:text=Data%20Analytics%20Lifecycle%20defines%20the,fulfill%20organizational% 20and%20project%20goals. Amber, S. F. (2022, December 29). Data Modelling Analyst: 9 Key Roles and Responsibilities. Hevo Data Inc. Retrieved September 20, 2023, from https://hevodata.com/learn/data-modelling- analyst/#:~:text=A%20Data%20Modelling%20Analyst%20or,both%20Conceptual%20and% 20Logical%20Models 2
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