Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. Let’s take a look at the skillsets developers need to have. Apache Spark.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

BizAcuity

FEBRUARY 21, 2025

Because data without intelligence is just noise. Sales operates on one system, finance on another, and operations on its own platform. Beyond Data Collection: Why Dynamics 365 Integration is Critical Most businesses today use Dynamics 365 for managing sales, finance, customer service, or operations.

Dashboards 52

Dashboards Optimization Finance Sales 52

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Finance. Source: Gartner Research). Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.

Statistics 52

Statistics Data mining Visualization Sales 52

Andrew White

JANUARY 11, 2021

Which industry, sector moves fast and successful with data-driven? Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. What’s your view in situation where the IT function still reports to CFO (Finance Director)? We see both too.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Ideally, your primary data source should belong in this group. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52