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Common Pitfalls to Avoid in Your Big Data Project
Here are some of the common pitfalls to avoid as you go about implementing it: 1. Lack of appropriately scoped objectives 2. Lack of required skills 3. The size of Big Data 4. The quality of Big Data
Embedded BI (Business Intelligence): Benefits & KPIs
Experts use embedded BI to collect business data, analyze it quickly, and produce the results easily. This tool helps them integrate data from numerous sources without difficulty.
How to Set Up and Find Success in Your Big Data analytics Project
Big Data Analytics may have been coined recently, but the act of collecting and analyzing data is decades old. Simply put, it denotes the large volumes of structured and unstructured data that flow into your business every hour, and every day.
Next Generation of Business Intelligence is Here
Today, companies use business intelligence to understand the latest trends, enhance profits, understand valuable customers, and increase productivity.
The Case for Enterprises Moving to Cloud Data Warehouses
Today’s Cloud-based data warehouses do not follow a rigid architecture; they are much more flexible and faster. Find out in this post why.
Homomorphic Encryption is about to go Mainstream
Homomorphic encryption is a form of encryption that enables the computation of functions on ciphertext to produce an encrypted output. It helps manage data access to authorized users without compromising data.
How to Manage Dynamic Pricing in COVID-19
Dynamic pricing tools consider a combination of historical and real-time market data to provide price suggestions. The data can range from past performance to geography to seasons or even local events.
All You Need To Know About Data Mesh
Data Mesh is a recent architectural pattern gaining traction as a way to address challenges in traditional data architectures.
5 Best Data Analytics Trends and Predictions to Watch in 2022
Where is data analytics headed in 2022? See What are the predictions and trends in data analytics for the new year? 1. Cloud Analytics Will Get Even More Traction 2. Unstructured Data Shall Share The Podium With Structured Data 3. Data Fabric Will Ease Data Management 4. Data Mesh Provides New Architecture Alternative 5. Automated Machine Learning Will Take Over Tedious Tasks
How to Use Retail Data Analytics for Customer Retention?
Data analytics in the retail sector enables retailers to create personalized offers and improve return on investment.
How Data Analytics Builds Loyalty in Financial Services
Banks and financial services companies are losing customers to digital-first competitors. Here's how smarter analytics turns that around.
5 Key Data Analytics Trends for 2021
5 key data analytics trends for 2021. 1. Data and Analytics Are Moving To The Cloud. 2. Data And Analytics Will Be Even More Democratized 3. 2021 Will See Faster, More Automated AI and ML, And More Of NLP
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