CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. For business intelligence to work out for your business – Define your data strategy roadmap. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

datapine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 78

Data Warehouse Data-driven Snapshot Testing 78

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Data Strategy 69

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution.

Sales 52

Sales Data Warehouse Visualization Testing 52

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Data Management. Big Data Storage Optimization. Data Governance.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. What is ETL? Let’s break down each step: 1.

Data Quality 85

Data Quality Data Warehouse Data-driven Reporting 85

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. from 2022 to 2026.

Data Lake 81

Data Lake Metadata Cost-Benefit Data Warehouse 81

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 92

Optimization B2B Data Quality Sales 92

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. They do not have a single view of their data which affects them. The Data Strategy.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

CDW Research Hub

OCTOBER 25, 2021

Our seventh video will set up an Embrace connection in ThoughtSpot to access data stored in Snowflake. An Embrace connection is a feature in ThoughtSpot that allows you to access data stored externally in a data warehouse. Stay tuned for the next video in our Snowflake Immersion Days series.

Data Warehouse 52

Data Warehouse Structured Data Consulting Strategy 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 83

Slice and Dice Data Warehouse Metrics Metadata 83

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

IBM Big Data Hub

MARCH 14, 2024

. With Db2 Warehouse’s fully managed cloud deployment on AWS, enjoy no overhead, indexing, or tuning and automated maintenance.  Netezza incorporates in-database analytics and machine learning (ML), governance, security and patented massively parallel processing. . 

Cost-Benefit 79

Cost-Benefit Metadata Optimization Management 79

CDW Research Hub

JANUARY 20, 2022

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. The post Watch the Ninth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 89

Structured Data Consulting Strategy Data Strategy 89

CDW Research Hub

JANUARY 24, 2022

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. The post Watch the Eleventh Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 87

Structured Data Consulting Strategy Data Strategy 87

CDW Research Hub

JANUARY 21, 2022

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. The post Watch the Tenth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 81

Structured Data Consulting Strategy Data Strategy 81

CDW Research Hub

APRIL 28, 2020

When you are looking to integrate and harness the power of your data and get more AI-driven intelligence, know that we have the experience to help your organization execute your modern data strategy.

Data-driven 52

Data-driven Analytics Consulting ROI 52

CDW Research Hub

OCTOBER 26, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration to help you achieve more insight from your data. The post Watch the Eighth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Modeling Strategy 52

CDW Research Hub

OCTOBER 21, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration to help you achieve more insight from your data. The post Watch the Sixth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

CDW Research Hub

JULY 22, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. The post Watch the Fourth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

CDW Research Hub

APRIL 28, 2021

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. The post Check Out the Second Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

CDW Research Hub

MAY 27, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, data migration, and achieving more insight from your data. The post Watch the Third Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

CDW Research Hub

APRIL 12, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, data migration, and achieving more insight from your data. The post Check Out the First Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

CDW Research Hub

JULY 23, 2021

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. The post Watch the Fifth Video in Our Snowflake Tutorial Series appeared first on Sirius Computer Solutions.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

AWS Big Data

NOVEMBER 8, 2023

The following are some of our favorites: Accelerate innovation with real-time data: Join Mindy Ferguson, Vice President of Streaming and Messaging at AWS, and Arvinth Ravi, General Manager of Amazon Kinesis Data Streams, in this session that highlights the importance of implementing ubiquitous real-time data strategies to gain a competitive edge.

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 96

Data-driven Data Lake Data Quality Data Governance 96

IBM Big Data Hub

AUGUST 4, 2023

Data fabric Data fabric architectures are designed to connect data platforms with the applications where users interact with information for simplified data access in an organization and self-service data consumption. Key steps include: Define business and data objectives –What are your company’s goals?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62