datapine

APRIL 13, 2021

But how do you manage all your new clients while still focusing on giving them a good service and their expected results? In this article, we will cover every fundamental aspect to take advantage of agency analytics. Explore our 14 days free trial & benefit from interactive agency reports! Benefits Of A Modern Agency Report.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!) How does one express “context” in a data model?

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Jet Global

MARCH 22, 2024

That’s why we’ve put together a list of the most underrated Qlik capabilities that every data master (and junior!) Qlik’s powerful associative analytics engine The first capability we’re exploring is Qlik’s powerful associative engine – technology that was truly a leap forward for in-memory business intelligence (BI). should know.

KPI 52

KPI Reporting Visualization Digital Transformation 52

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. A performance report is an analytical tool that offers a visual overview of how a business is performing in a specific strategy, project, or department. Table of Contents 1) What Is A Performance Report?

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

CIO Business Intelligence

MAY 31, 2022

A more recent phenomenon, the metaverse, will transform how businesses interact with customers, how work is done, what products and services companies offer, how they make and distribute them, and how they operate their organizations. Building trust. With that said, humans are also in a unique position.

Technology 116

Technology Experimentation Interactive IoT 116

datapine

JULY 26, 2022

The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. That said, this level of accessibility has turned the use of data from a choice to a mandatory practice for businesses that want to succeed, no matter their size. How you might be wondering?

Dashboards 151

Dashboards KPI Metrics Sales 151

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

APRIL 24, 2024

Learn Data Visualization Understanding the Importance of Visualizing Data Data visualization is a powerful tool for conveying complex information in a clear and impactful manner. Whether it’s through charts, graphs, maps, or other visual formats, mastering data visualization is crucial for anyone working with data.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

datapine

JUNE 23, 2020

With so much responsibility and such little time, financial data analysis is no easy feat. But, while working efficiently with fiscal data was once a colossal challenge, we live in the digital age and have incredible solutions available to us. CFO reports supercharge your financial initiatives. Let’s get started.

Dashboards 298

Dashboards Reporting KPI Metrics 298

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 49

B2B Interactive Optimization Forecasting 49

datapine

FEBRUARY 9, 2023

This shift is happening across industries and it is no different when it comes to data analysis and reporting. But how can this industry provide a personalized experience that will make clients feel important? Table of Contents 1) What Are White Label Reports? The answer is white labeling. The answer is white labeling.

Dashboards 186

Dashboards Reporting Sales Software 186

CIO Business Intelligence

DECEMBER 29, 2023

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” In 2024, my team and I will explore automation solutions that can streamline critical, time-consuming tasks, and contribute to a more efficient digital infrastructure.”

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

FineReport

APRIL 25, 2024

Discovering the World of Data Visualization Jobs In today’s data-driven world, data visualization jobs play a crucial role in transforming complex information into visually appealing and easy-to-understand graphics. But what exactly are data visualization jobs, and why are they important?

Visualization 52

Visualization Data-driven Interactive Dashboards 52

Jen Stirrup

SEPTEMBER 30, 2021

Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? AI vs ML vs Data Science vs Business Intelligence.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

IBM Big Data Hub

DECEMBER 14, 2023

In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape. Prevention and protection : Preventing cyber threats before they can cause damage is a fundamental aspect of cyber resiliency.

Risk 87

Risk Measurement Business Objectives Optimization 87

CIO Business Intelligence

MARCH 25, 2024

And they want to know exactly how much return on investment (ROI) can be expected when IT leaders make technology-related changes. This article explores how CIOs can address each of their CFO’s key concerns when moving away from project-based teams to persistent funding, including the need to better track ROI, reduce risk, and reduce cost.

Modeling 124

Modeling Cost-Benefit IT ROI 124

AWS Big Data

NOVEMBER 15, 2023

In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

IBM Big Data Hub

FEBRUARY 5, 2024

Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets. Core principles of FICAM ICAM security is built on three fundamental pillars: Identity, credentials, and access.

Risk 98

Risk Cost-Benefit Measurement Management 98

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. Data Type and Processing.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

Rocket-Powered Data Science

JULY 21, 2023

Well, the conference was in Vegas, while I was far away in my home office watching the live conference keynote sessions online. This reflected my strong interest in observability at that time. Leaders report one-third the number of outages per year, on average, compared to those organizations who do not implement observability and monitoring.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

datapine

JULY 17, 2019

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Get our free guide! What Is A KPI?

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Domino Data Lab

AUGUST 6, 2021

Model governance is a framework that determines how a company implements policies, controls access to models and tracks their activity. Model governance not only reduces risk, it helps to achieve fundamental business goals like production efficiency and profitability. First is the data the model is using.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

datapine

JUNE 22, 2022

4) How To Set KPIs Targets? 5) How To Implement A KPI System? In a world where data represents a major competitive advantage for businesses, the need to monitor performance based on specific goals and targets is critical. It is not enough to track relevant customer or sales data. Table of Contents. What Are KPI Goals?

KPI 152

KPI Key Performance Indicator Measurement Cost-Benefit 152

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration.

Metadata 98

Metadata Dashboards Informatics Visualization 98

O'Reilly on Data

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. AI products are automated systems that collect and learn from data to make user-facing decisions. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

APRIL 11, 2022

We will now explore each of these predictions in more depth with this blog series. Indeed, the global AI software market is expected to reach $62 billion this year, but this is just the early stages of a more fundamental shift. . Let me briefly explain how this is likely going to unfold. Transforming Software Development.

Software 90

Software Data-driven Machine Learning Testing 90

Smarten

AUGUST 1, 2022

Enable Citizen Data Scientist User Adoption of Augmented Analytics with Business Use Cases ! For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics.

Analytics 52

Analytics Advertising Cost-Benefit Enterprise 52

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

datapine

JUNE 3, 2019

Recruitment analytics is a process of using data-driven metrics and insights to improve the sourcing of the best candidates for different roles within your organization that will help you cut costs and better understand factors that are influencing your hiring process. “The competition to hire the best will increase in the years ahead.

Metrics 210

Metrics Dashboards KPI Measurement 210

Jet Global

MARCH 2, 2021

Instead, you’ll need to export the information to a PDF and then print it or export the data to Excel. Like many sectors of the economy, the real estate industry has experienced massive disruptions over the past year. More than ever, managers must maintain clear visibility to what is happening in the business, in real time.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98