TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CIO Business Intelligence

APRIL 10, 2019

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis of business information necessary to help users make data-driven business decisions.

Business Intelligence 111

Business Intelligence Data Warehouse Data-driven Software 111

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

Boris Evelson

NOVEMBER 14, 2018

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven.

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. Set Up Data Integration. What kinds of BI tools are available ?

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. times better price-performance than other cloud data warehouses.

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

Cloudera

SEPTEMBER 24, 2020

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data. So, why choose?

Data Warehouse 68

Data Warehouse Metadata Interactive Dashboards 68

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. Cloudera and Dell Technologies for More Data Insights.

Data-driven 94

Data-driven Analytics Machine Learning Optimization 94

Sisense

OCTOBER 2, 2019

Different Business Needs Changes Convergence What to Do Now. Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second.

Business Intelligence 75

Business Intelligence Reporting Data Warehouse Data-driven 75

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Jet Global

JUNE 5, 2019

In the modern era, businesses are continually looking for a competitive advantage—something that will allow them to deliver goods or services at a lower cost, higher quality, and faster speed than their competitors. The path to doing so begins with the quality and volume of data they are able to collect. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 134

Data mining Data-driven Statistics OLAP 134

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Every organization needs data to make many decisions.

Interactive 115

Interactive Unstructured Data Analytics Data Warehouse 115

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Smarten

JANUARY 18, 2023

It is a highly process driven company and depends on data and its analysis for decision making and reporting at each level in the organization. The Smarten system has helped the client cost-effectively shift from spreadsheet based reporting to business intelligence based centralized analysis, assessment, and reporting.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 135

Finance Management Metadata Data Quality 135

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 88

Data Lake Data Warehouse Machine Learning Cost-Benefit 88

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

CIO Business Intelligence

MARCH 29, 2024

Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 121

Data Lake Machine Learning Data Warehouse Unstructured Data 121

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks?

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

MARCH 16, 2022

CIO Middle East: Data Analytics is key in healthcare. How you see the role of business intelligence in healthcare? When we look into the analytics scenario of healthcare, the accurate word to describe it is ‘clinical business intelligence’. The same goes for the adoption of data warehouse and business intelligence.

Technology 104

Technology Digital Transformation Business Intelligence Data Warehouse 104

Juice Analytics

FEBRUARY 6, 2021

Over a decade ago, this was a term we started using to express the challenges of the analytics (then: business intelligence) world. That’s a creaky and narrow bridge to rely on for the last mile of business intelligence. You can make a data product that is intuitive, friendly, simple, useful…but it still needs to be sold.

Analytics 59

Analytics Data Warehouse Data-driven Business Intelligence 59

AWS Big Data

JUNE 28, 2023

Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. According to Forrester , advanced insights-driven businesses are 8.5 Challenges with ETL What is ETL?

Analytics 66

Analytics Data Warehouse Data Lake Data-driven 66

CIO Business Intelligence

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

Data Integration 125

Data Integration Unstructured Data Data-driven Data Warehouse 125

AWS Big Data

AUGUST 31, 2023

Data warehousing provides a business with several benefits such as advanced business intelligence and data consistency. This process is always evolving to reflect new business and technical requirements, especially when working in an ambitious market.

Data Warehouse 79

Data Warehouse Data-driven Testing Business Intelligence 79

Alation

MARCH 29, 2022

Business intelligence has a long history. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

datapine

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. One of the BI architecture components is data warehousing. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. And in the last few years, the team realized there was an opportunity to expand beyond centralized operational reporting to enable further business growth.

Publishing 55

Publishing Analytics Business Intelligence Operational Reporting 55

BizAcuity

FEBRUARY 1, 2019

At the crux of any event lies data. Data Warehousing to Propel Any Event Business. Today, all event companies, including some major ones, store, access and process this data in silos. This makes processing data slower and inaccurate. This makes processing data slower and inaccurate. Who’s coming?

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73