Smart Data Collective

JULY 19, 2019

Comarch is known around the world, as a trusted, innovative provider of IT products and services in sectors as varied as healthcare, finance, automotive, retail, transport and logistics, to name just a few. Thanks to experience in the telecommunications industry, gained over many years, Comarch understands the value of customer focus.

Big Data 200

Big Data Retail Artificial Intelligence Logistics 200

Argon Digital

JUNE 27, 2023

Enhanced Customer Experience : Automation plays a crucial role in delivering exceptional customer experiences. By automating customer-facing processes, organizations can respond faster to customer inquiries, provide self-service options, and ensure timely and accurate order processing.

Logistics 52

Logistics Supply Chain Financial Analysis Customer Experience 52

The BAWorld

MAY 14, 2024

If you are preparing for a Data Analytics interview, this article provides you with just the right resource. We have collected the top 20 Data Analyst interview questions and have provided likely answers. General Data Analyst Interview Questions These questions are general questions to check your Data Analytics basics.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Actian

DECEMBER 19, 2018

To survive, companies must find ways to remove friction in their systems and business processes – leveraging real-time operational data and translating it into actionable insights that drive activities across the company. Sales teams need visibility to delivery schedules and logistics.

Real-time Data 40

Real-time Data Logistics Customer Experience Customer Experience 40

Marutitech

FEBRUARY 23, 2022

Determining your primary marketing goals and customers is a critical use case for predictive analytics. Predictive analytics use cases will help you with the best time to perform maintenance to avoid lost revenue and dissatisfied customers. With predictive analytics, your approach to QA shifts from reactive to proactive.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Sisense

JANUARY 13, 2020

Data is a critical tool for identifying where and how that can be done in any manufacturing process. From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. Advanced data analytics can overcome this issue without incurring huge costs.

Supply Chain 52

Supply Chain Embedded Analytics Pharmaceutical Big Data 52

Data Pine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

Sisense

MAY 27, 2021

For retailers specifically, AI will prove to be game-changing in three key areas: Improving quality and speed of decisions, enhancing the customer experience, and streamlining operations. According to research by data analytics firm Exasol, 87% of U.S. All of this data is incredibly valuable.

Retail 52

Retail Supply Chain Artificial Intelligence Customer Experience 52

Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. Real-time, data-driven decision making.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data complexity creates a barrier to entry here, though. Over two in five (45%) say the complexity of real-time data and big data present a challenge when looking to harness their data.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data complexity creates a barrier to entry here, though. Over two in five (45%) say the complexity of real-time data and big data present a challenge when looking to harness their data.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Astera

MAY 6, 2024

This helps them understand customer behavior and pinpoint buying patterns, allowing them to tailor offerings, improve customer experiences, and build brand loyalty. Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

JANUARY 21, 2020

Another business intelligence report sample can be applied to logistics, one of the sectors that can make the most out of business intelligence and analytics , therefore, easily track shipments, returns, sizes or weights, just to name a few. BI reports can combine those resources and provide a stimulating user experience.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Insight Software

OCTOBER 9, 2024

By harnessing the power of real-time data and analytics, organizations can detect shifts in their environment, make proactive adjustments, and better serve customers. Each industry has unique applications for real-time data, but common themes include improving outcomes, reducing costs, and enhancing customer experiences.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 52

Data Pine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. As the first and most impactful of all benefits of analytics, we have the ability to make informed strategic decisions backed by factual information.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85

Actian

DECEMBER 18, 2019

In 2020, we’re going to continue to see data re-shaping customer experience, multiple business functions, as well as the analytics infrastructures on which these systems operate. We’re also going to see 5G ushering in a golden age of IoT and analytics at the Edge.

Data Warehouse 40

Data Warehouse Customer Experience Customer Experience Innovation 40