Sisense

MARCH 19, 2019

Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. It Offers Significant Query Speed Upgrades.

Data Warehouse 94

Data Warehouse Cost-Benefit Business Intelligence Data Processing 94

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 131

Finance Management Metadata Data Quality 131

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. With remote and hybrid work on the rise, the ability to locate and leverage data and expertise — wherever it resides — is more critical than ever.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). Whereas business intelligence is tactical, financial intelligence is strategic. .

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Smarten

JANUARY 18, 2023

The client is one of the leading financial services groups in India. They offer Equity, Commodity, and Currency brokering services as well as depository participant services. This client services over one million customers through its extensive network spreading over 500 cities in India and key overseas locations.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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

Jet Global

FEBRUARY 21, 2019

Choosing to buy a business intelligence (BI) and analytics solution for your Microsoft Dynamics system is a big step. Do you need frontend functionality with data visualization and self-service analytics? What about centralized data storage in the form of a data warehouse? BI4Dynamics.

Business Intelligence 75

Business Intelligence Analytics Data Warehouse Software 75

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.

Data Warehouse 68

Data Warehouse Metadata Interactive Dashboards 68

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

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

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. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Alation

MARCH 31, 2022

In the breakneck world of data, which I have been privy to since the mid 1990s, business intelligence remains one of the most enduring terms. So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. The Rise of the Data Warehouse.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 52

CIO Business Intelligence

SEPTEMBER 26, 2023

Swiss energy services company IWB has a vision of a world with a fully renewable, climate-friendly energy supply. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

Machine Learning 97

Machine Learning Forecasting Measurement Data Warehouse 97

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. It offers a “pay for what you” service.

Interactive 115

Interactive Unstructured Data Analytics Data Warehouse 115

CIO Business Intelligence

APRIL 14, 2022

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. The area is rapidly growing.

Enterprise 128

Enterprise Marketing Measurement Reporting 128

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Big data and data warehousing.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 129

Data mining Data-driven Statistics OLAP 129

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.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

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. The past decades of enterprise data platform architectures can be summarized in 69 words. Domain data assets, artifacts and related services are viewed as the team’s product.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. Kudu has this covered. appeared first on Cloudera Blog.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

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.

Data Lake 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

AWS Big Data

AUGUST 31, 2023

Data warehousing provides a business with several benefits such as advanced business intelligence and data consistency. Amazon Redshift is a fast, fully managed, cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Warehouse 79

Data Warehouse Data-driven Testing Business Intelligence 79

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. This does not mean however that a competitive advantage does not exist in using historical data.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Howard Dresner

JANUARY 8, 2013

Dear Friends, Since last year I began supporting a new Business Intelligence blog on the Sandhill.com website , called "Dresner's Point". Each week I am joined by Business Intelligence and information management experts (e.g., Each week I am joined by Business Intelligence and information management experts (e.g.,

Business Intelligence 45

Business Intelligence Data Warehouse Data Processing Big Data 45

Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. It took only a few minutes for them to toss out a lot more than five.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

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.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. Let’s explore the architecture and learn how to build this use case using AWS Cloud services.

Data Warehouse 101

Data Warehouse Testing Data Quality Reporting 101

AWS Big Data

DECEMBER 5, 2023

Data ingestion HR&A receives survey data as wide CSV files with hundreds of columns in each file and related spatial data in hexadecimal Extended Well-Known Binary (EWKB) in the form of shape files. These files are stored in Amazon Simple Storage Service (Amazon S3). Solutions Architect at Amazon Web Services.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

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

JULY 18, 2022

They can decide what and how they utilize our services. For many food banks, we provide those technology services.”. We didn’t have basic things like a data warehouse. We want to be a data-first organization, and to really drive impact through insights, you need a centralized place to store and analyze the data.”.

Data Warehouse 127

Data Warehouse Dashboards Reporting Manufacturing 127

CIO Business Intelligence

MARCH 22, 2024

It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,

Data Processing 94

Data Processing Data Warehouse Management Software 94