Remove Data Warehouse Remove IBM cost Remove Predictive Analytics Remove Visualization
article thumbnail

Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

article thumbnail

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. Business Intelligence Job Roles.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Data Journey: From Raw Data to Insights

Sisense

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. Sisense provides instant access to your cloud data warehouses. Connect tables.

article thumbnail

What’s Top of Mind for CFOs Heading into 2024

Insight Software

With interest rates still rising, skills shortages still posing a challenge, and the specter of recession still haunting board rooms, CFOs are looking to technology to connect data, build agility, and drive profitability. Generative AI, or GenAI, is still a new enough technology that CFOs are curious but noncommittal.

article thumbnail

The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

article thumbnail

Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

Insight Software

Ventana Research predicts that over two-thirds of business unit teams will enjoy immediate access this year to an integrated cross-functional analytics platform seamlessly embedded within their workflow activities and processes. Focus on core features and innovations, knowing analytics are covered.

article thumbnail

What Is Embedded Analytics?

Insight Software

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.