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

IBM Big Data Hub

NOVEMBER 6, 2023

Enterprises should create personalized experiences for SMBs based on qualitative and quantitative data As SMBs become more cautious about their spending, the enterprises that serve them must drive value through increased personalization. Data-driven personalization is essential in today’s business environment.

Cost-Benefit 107

Cost-Benefit Enterprise ROI Data Warehouse 107

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

Data Quality 64

Data Quality Data Lake Data Warehouse Data-driven 64

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. Connecting ThoughtSpot and Snowflake is a simple 3-step process.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

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? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

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. Customers have too many options.

Cost-Benefit 111

Cost-Benefit Internet of Things Data-driven Data Lake 111

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

AWS Big Data

FEBRUARY 9, 2023

This post was co-written with Amit Shah, Principal Consultant at Atos. Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. In this post, we focus on synchronizing your data from Salesforce to Snowflake (on AWS) without writing code.

Data Warehouse 78

Data Warehouse Data-driven Snapshot Testing 78

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 enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 79

Data Lake Data Warehouse Sales Data-driven 79

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. BI has long been plagued by an audience divided, the data haves and have nots. Modern BI began when “data” became what we consider it to be today. The Rise of the Data Warehouse.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 52

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

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. Data governance and security measures are critical components of data strategy.

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. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

CIO Business Intelligence

NOVEMBER 23, 2022

The process is driven by a “comprehensive picture of an entire enterprise from the perspectives of owner, designer, and builder,” according to the EABOK. Gartner: After acquiring The Meta Group in 2005, Gartner established best practices for EAP and adapted them into the company’s general consulting practices. Data warehouse.

Enterprise 123

Enterprise Cost-Benefit Digital Transformation Strategy 123

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. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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 50

Machine Learning Marketing Forecasting Modeling 50

Darkhorse

DECEMBER 11, 2017

Analytics and now Data Science are trapped in the middle. A recent HBR article put it at 100% for data science projects. Data Steward – this skillset is alive and well in most organizations. What they should be talking about is how to get the data out more quickly and cleanly. That’s abysmal.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

MAY 31, 2020

Every conversation with a customer is a chance to deepen our relationship and help them get more out of their data. Using real data from the customer’s own sources gives us a true understanding of their technical and business needs. We know our customers’ success is our success.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Congratulations and high fives to every organization that submitted entries.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

BI-Survey

AUGUST 21, 2020

Data warehousing is getting on in years. However, data warehousing and BI applications are only considered moderately successful. Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Can the basic nature of the data be proactively improved?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. 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.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CDW Research Hub

APRIL 28, 2020

As businesses strive to become modern data-driven organizations, many are drawn to the value that a data platform in the cloud can provide. Cloud data platforms provide the speed, performance and scalability that is required to handle an exponential growth in volume of data.

Data-driven 52

Data-driven Analytics Consulting ROI 52