CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

CIO Business Intelligence

JULY 24, 2022

Rouch joins from IT services and consulting firm Class where she’d been CTO since March 2020. Herbert was responsible for data management and analytics capability. Paul Keen departs from Nuix, Alexis Rouch takes CIO role. Alexis Rouch will join software vendor Nuix as CIO in August replacing Paul Keen who is leaving the company.

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake. Reduce the total cost of ownership of the data infrastructure.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). Akhil is a Lead Consultant at AWS Professional Services.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 99

Data Warehouse Testing Data Lake Data-driven 99

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Working with Data Entities.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Alation

FEBRUARY 13, 2020

Data curation is a term that has recently become a common part of data management vocabulary. Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. Curating data involves much more than storing data in a shared database.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Of those tables, some are larger (such as in terms of record volume) than others, and some are updated more frequently than others.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. About the authors Vinay Kumar Khambhampati is a Lead Consultant with the AWS ProServe Team, helping customers with cloud adoption. He is passionate about big data and data analytics.

Metadata 83

Metadata Testing Data Lake Consulting 83

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. 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.

Cost-Benefit 122

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

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Introducing Data Lakes.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

CIO Business Intelligence

SEPTEMBER 21, 2023

It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. We use on-demand capacity mode.

Data Analytics 94

Data Analytics Analytics Data Warehouse Data Lake 94

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

Peter James Thomas

JUNE 20, 2019

In 1995, Thomas Davenport , an EY consultant who was one of the early BPR luminaries, had this to say on the subject: “When I wrote about ‘business process redesign’ in 1990, I explicitly said that using it for cost reduction alone was not a sensible goal. This would take time. “Aye, there’s the rub” . [3a/b].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 90

Unstructured Data Structured Data Data Warehouse Testing 90

Peter James Thomas

APRIL 3, 2020

The way that this consistency of figures is achieved is by all elements of the Structured Reporting Framework drawing their data from the same data repositories. I started by saying that some people make the mistake of thinking that a Structured Reporting Framework is an optional extra in a modern data landscape.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. But what are the right measures to make the data warehouse and BI fit for the future? The following insights came from a global BARC survey into the current status of data warehouse modernization.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

BizAcuity

SEPTEMBER 5, 2022

It is evident that the future of igaming (for the Operators as well as the Game Studios) is being shaped by analytics. However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. Modern Visual Analytics Tools.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

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

CIO Business Intelligence

OCTOBER 19, 2022

The CIO’s evolving data role Data falls into a similar category as digital. CIOs are responsible for building an enterprise data and analytics capability, but they do not own data as a function. If that is the case, where should the data and analytics function sit?

IT 124

IT Digital Transformation Data Warehouse Risk 124

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can contact us with questions.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. Why are they so popular?

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. With its industry-based, consultative approach, Cognizant helps clients envision, build, and run more innovative and efficient businesses.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Put AI to work in your business with IBM today IBM is infusing watsonx.ai

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84