CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

erwin

FEBRUARY 28, 2024

At the same time, when Microsoft does not have the best or right technology available, we scan the market for complementary technology, to ensure we have a solid, integrated, future-proof architecture. Examples of complementary technologies include technology for data warehouse automation, change data capture and master data management.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. Ready to evolve your analytics strategy or improve your data quality?

Data-driven 110

Data-driven Analytics Machine Learning Optimization 110

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 98

Analytics IT Data Lake Visualization 98

Alation

DECEMBER 15, 2022

Like sports, vendors enjoy healthy competition and often find themselves in highly contested markets with several viable opponents, both big and small. These select athletes are determined by what the “market” is saying – this includes fans, analysts, and the press. How Do You Determine the GOAT for a Software Category?

Metadata 52

Metadata Data Governance Data Quality Marketing 52

datapine

JANUARY 24, 2021

Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. These key questions to ask when analyzing data can define your next strategy in developing your company. Don’t worry if you feel like the abundance of data sources makes things seem complicated.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

JULY 28, 2022

But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? Many see the cloud as the most secure option.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. What is a data fabric?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. Business Context.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

Alation

NOVEMBER 2, 2022

Alation has raised $123M in Series E funding at a valuation of in excess of $1.7B, a material increase from the Series D round in June of last year, particularly in the context of the recent stock-market decline. So why invest now, and in this turbulent market? Sands sees that market need as a major product opportunity.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

Andrew White

DECEMBER 4, 2019

Otherwise I don’t feel a need to repeat vendor marketing messages or product announcements since such vendors are quite capable, and motivated, to do that themselves. The marketing messages were all in point and being presented just as the vendor wanted. Digital transformation is more a customer first, or outside in view.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

datapine

MAY 21, 2019

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Cloudera

MAY 16, 2019

Some of the key trends we’ve both seen in the market are: Proprietary processing and infrastructure platforms cannot match the scale and innovation of the open-source infrastructure community, but every large enterprise analytics project needs multiple different engines to meet their goals. ENABLING CUSTOMER SUCCESS.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

Ontotext

MARCH 18, 2020

The main market driver generating demand for knowledge graphs is that B2B clients are on the lookout for intelligent knowledge management solutions that work the same way as the solutions Apple, Amazon, Google and Microsoft provide to their B2C users. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

bridgei2i

NOVEMBER 8, 2021

Enterprises today are focussing on foundational elements such as ensuring the right data quality, automated processes for operational efficiency (with use cases across sales, marketing, supply chain), and mapping customer personas with the right content channels, all of which lead to customer experiences that go beyond customer support.

Enterprise 52

Enterprise B2B Sales Cost-Benefit 52

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. In the future we will add Data Quality checks with DBT.

Analytics 56

Analytics Data Lake Testing Optimization 56

CIO Business Intelligence

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Better patient care at hospitals.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

FineReport

MAY 31, 2023

Financial indicators, such as revenue, gross profit, asset to debt ratio, current ratio, turnover, and price-earnings (P/E) ratio, serve as key measures of profitability, solvency, operational capability, and market valuation. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. What is Business Intelligence?

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Smart Data Collective

JULY 9, 2023

ETL is a three-step process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target database or data warehouse. Extract The extraction phase involves retrieving data from diverse sources such as databases, spreadsheets, APIs, or other systems.

Data Quality 86

Data Quality Data Warehouse Data-driven Reporting 86

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice. Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Ontotext

FEBRUARY 12, 2024

It proposes a technological, architectural, and organizational approach to solving data management problems by breaking up the monolithic data platform and de-centralizing data management across different domain teams and services. Once these domains interact and share data with each other, the mesh emerges.

IT 64

IT Metadata Data Quality Data Lake 64

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

AWS Big Data

JULY 12, 2023

Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse. Thousands of customers use Amazon Redshift to analyze exabytes of data and run complex analytical queries.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Jet Global

JANUARY 20, 2021

As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Lack of proactive data management, on the other hand, can result in incompatible or inconsistent sources of information, as well as data quality problems.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

CIO Business Intelligence

DECEMBER 21, 2022

“By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52