| Titre : | Advanced Data Analytics and Visualization |
| Auteurs : | Fisher Lily Fisher, Auteur |
| Type de document : | Monographie imprimée |
| Editeur : | E-LEARNING, 2025 |
| ISBN/ISSN/EAN : | 978-1-984695-23-9 |
| Format : | 1 vol. (77 p.) / ill.couv.ill.encoul / 30cm |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 500 |
| Résumé : |
IN THEB MODERN ERA Data analytics offers a plethora of advantages to businesses. It fosters decision-making processes in tangible proof rather than subjective bias. The forward-looking nature of advanced analytics lets businesses anticipate upcoming trends and customer behaviors. Hence, it enables more strategic planning and rational resource use.By decoding customer patterns and tastes, marketing efforts can be tailored to individual needs. This approach allows for enhancing user satisfaction and loyalty. Advanced data analytics also gives businesses the tools to pinpoint and navigate potential challenges, safeguarding their trajectory and revenue streams.
Advanced data analytics sheds light on market tendencies, consumer behaviors, and operational proficiency. This knowledge empowers businesses to adjust their strategies and elevate the client experience.Furthermore, data analytics holds immense significance in core facets of prosperous businesses. It’s a tool for risk management, fraud recognition, and operation optimization. With predictive capabilities, businesses can make decisions that guarantee growth and prosperity. Exploring the Real-World Impact of Advanced Analytics Advanced analytics gives businesses a holistic view of their operations, clientele, and market presence. The insights from data analytics are instrumental for informed strategy development. They allow companies to tap into emerging prospects, refine processes, and drive sustained growth.Detection of Fraudulent Activities Traditional data analytics methods tend to be bulky and only scratch the surface of known fraud scenarios. Advanced data analytics uses the power of machine learning and predictive modeling. This way, it can detect familiar and emerging fraudulent patterns. Businesses can identify anomalies and suspicious actions by feeding models with historical data. This method increases the accuracy of fraud detection and data security, which might escape the gaze of standard techniques. Another benefit of advanced analytics is its scalability, which is crucial as data volumes expand over time. A significant perk here is the continuous surveillance. The potential threats can be identified and addressed instantly, protecting financial assets and brand reputation. |
| Type de document : | Livres |
Disponibilité (1)
| Cote | Support | Localisation | Statut |
|---|---|---|---|
| INF/832 | Livre | bibliothèque sciences exactes | Consultable |
