FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics? Definition.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Do I Have A Troublesome Data Supplier?

Testing 100

Testing Metrics Data Quality Dashboards 100

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

CIO Business Intelligence

MARCH 4, 2024

As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.

Insurance 97

Insurance Strategy Data Governance Data Integration 97

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. 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

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Adding DataOps to ETL processes is the secret to eliminating errors and dramatically improving analytic cycle times.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. So in summary they are very similar concepts but data fabric seems to be the more rounded of the two.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Occam's Razor

APRIL 13, 2015

The 80/20 rule applies to our use of web analytics tools as well. I recommend that periodically you gather folks around you for lunch, pull up Adobe Analytics on the big screen in the conference room, let each person expose one hidden report or feature. Google Analytics Shortcuts: Save Your Complex Views.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. When different departments, business units, or groups keep data stored in systems not available to others, it diminishes the value of the data.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 95

IT Visualization Machine Learning Data Integration 95

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

Smart Data Collective

FEBRUARY 14, 2023

We have discussed the compelling role that data analytics plays in various industries. In December, we shared five key ways that data analytics can help businesses grow. The gaming industry is among those most affected by breakthroughs in data analytics. Data integrity control. Absolutely.

Big Data 118

Big Data Data Analytics Analytics Testing 118

Jet Global

OCTOBER 28, 2021

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. RALEIGH, N.C. The acquisition is expected to close in early November.

Operational Reporting 83

Operational Reporting Finance Data-driven Reporting 83

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

Cloudera

FEBRUARY 11, 2019

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market.

Management 43

Management Metadata Analytics Machine Learning 43

Smarten

AUGUST 22, 2023

Some business users will believe that adding analytics to their role will be complicated and difficult and will add tasks that they see as outside the boundaries of what they should be expected to do. With these tools, the business user can quickly and easily analyze data without delay.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. This is one of the biggest hurdles with the data vault approach. What is a data vault?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Jedox

FEBRUARY 13, 2020

For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. Jedox uses the data hub of its EPM software platform for AI applications. Automated sales forecast at Mitsui.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. This data helps us understand earlier trends and is vital for making a realistic budget.

Forecasting 90

Forecasting Marketing Risk Sales 90

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. 1 reason to implement data governance. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

MARCH 24, 2023

Alation Alation is an enterprise data catalog that automatically indexes data by source. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. This long processing time reduced the analytic team’s productivity.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. Data Integration. Visual Analytics and Data Visualization.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. It also has a commercial version for enterprises.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Smarten

AUGUST 17, 2018

As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business. But, how do you begin to understand the implications of these changes?

Analytics 40

Analytics Measurement Data-driven Optimization 40

CIO Business Intelligence

JUNE 13, 2022

A Forrester report commissioned by vendor ADA found that 95% of financial firms would like their chatbots to understand customer history with the company. And the chatbot would be able to understand what you were asking, run analytics on your purchases, and give you a total. Intel® Technologies Move Analytics Forward.

Data Processing 102

Data Processing Deep Learning Insurance Cost-Benefit 102

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

JULY 13, 2023

The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes. Athena exposes the content of the reporting zone for consumption. Athena exposes the content of the reporting zone for consumption. The content of the reporting zone is ingested via SPICE in Amazon QuickSight.

Optimization 88

Optimization B2B Data Quality Sales 88

AWS Big Data

JANUARY 12, 2024

Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. The data will be consumed by downstream analytical processes.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

Smart Data Collective

APRIL 20, 2020

According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The value of data has become a primary focus for companies seeking an easy way to compromise. Effects of Analytics. Data can be used to change our world as well as the way we live and work.

Forecasting 96

Forecasting Uncertainty Big Data Marketing 96