article thumbnail

What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

article thumbnail

How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

According to Cognizant, nearly 70% of teams that made major or significant changes to their analytical models now make more accurate predictions, compared to 45% who preferred to leave things as they were. In this article, we’ll take a closer look at why companies should seek new approaches to data analytics.

Insiders

Sign Up for our Newsletter

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

article thumbnail

OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

This means that they use a data model that minimizes redundancy and ensures data consistency. Low data latency: OLTP systems offer low data latency and provide real-time data updates, ensuring immediate availability of updated data to users.This is important for applications that require real-time data access and responsiveness.

article thumbnail

Finance Data Warehouse for Reporting and Analytics

Astera

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

article thumbnail

Too Much Data, Too Few Actionable Insights…Too Late!

Actian

For companies that want to develop a sustainable competitive advantage, they must start aggregating, organizing and refining their massive data stores into the real business intelligence that leads to better decisions and more efficient operations. “We We are struggling to convert data into actionable insights.”.

article thumbnail

Data Model Development Using Jinja

Sisense

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

article thumbnail

Unlocking the Potential of Amazon Redshift?

Astera

Amazon Redshift is a cloud-based data warehouse solution offered by Amazon Web Services that combines the scalability and cost effectiveness of traditional data warehouses with enhanced performance, real-time data access, and deep analytics capabilities. These include dimensional models and data vaults.