• Business Intelligence (BI) basically analyzes the previous data to find hindsight and insight to describe business trends. Here BI enables you to take data from external and internal sources, prepare it, run queries on it and create dashboards to answer questions like quarterly revenue analysis or business problems. BI can evaluate the impact of certain events in the near future.
  • Data Science is a more forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. It answers the open-ended questions as to “what” and “how” events occur.

You are part detective, coach, and conductor. You like to jump in and diagnose customer challenges. Whether you’re an agent or the head of a team you believe in the importance of excellent customer service. If your greatest rewarded is high customer satisfaction, a career in service might be for you.

You like to tackle complex business challenges and solve them through business improvements. You deliver innovative solutions using Salesforce to ensure your customers are successful. You enjoy working with multiple teams to bridge the gap between business problems and technical solutions. Your in-depth knowledge of business processes and Salesforce make you a trusted advisor. The success of your customer is your #1 priority.

You thrive on diving into data, identifying key insights, and mapping out a winning business strategy. And with your cool head and sound logic, you’re able to think through problems and make actionable recommendations. Sound like you? Take a look at a career as a Business Analyst.

Rocket Mortgage, a leading mortgage lender, today announced a partnership with Salesforce to make the company’s mortgage origination technology available to banks, credit unions, and other financial institutions nationwide through Salesforce Financial Services Cloud.

The market opportunity is significant, with nearly 5,000 FDIC-insured banks and more than 5,000 credit unions…

Dimensional modeling represents data with a cube operation, making more suitable logical data representation with OLAP data management. The perception of Dimensional Modeling was developed by Ralph Kimball and is consist of “fact” and “dimension” tables.

In dimensional modeling, the transaction record is divided into either “facts,” which are frequently…

  1. Understand business trends and make better forecasting decisions.
  2. Data Warehouses are designed to perform well enormous amounts of data.
  3. The structure of data warehouses is more accessible for end-users to navigate, understand, and query.
  4. Queries that would be complex in many normalized databases could be easier to build and maintain in data warehouses.
  5. Data warehousing is an efficient method to manage demand for lots of information from lots of users.
  6. Data warehousing provide the capabilities to analyze a large amount of historical data.

A Data Warehouse (DW) is a relational database that is designed for query and analysis rather than transaction processing. It includes historical data derived from transaction data from single and multiple sources.

A Data Warehouse provides integrated, enterprise-wide, historical data and focuses on providing support for decision-makers for data modeling…


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