CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders. Business value acceleration.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

Sisense

JUNE 26, 2019

The right tools and platforms that are easy to deploy, play well with legacy and modern systems, and can manage a complete end-to-end BI process, are what modern data engineers need in order to fully embrace complex data. You want to make sure you have one place to bring in all your data and do your data modeling.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

datapine

NOVEMBER 11, 2021

Having flexible data integration is another important feature you should look for when investing in BI software for your business. The tool you choose should provide you with different storage options for your data such as a remote connection or being stored in a data warehouse. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. BI is not just a technology initiative. To succeed, a deployment must have the support of key business areas, from the get-go. Decide which are necessary to your business intelligence strategy. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Jet Global

JULY 11, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Jet Global

FEBRUARY 5, 2019

We live in a world where the more data you collect, the better. But data has become increasingly complex, with high volumes from different sources spanning across multiple geographic regions. Prepare Your Data for Accurate Business Analytics and Intelligence. Download Now.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Jet Global

MAY 1, 2020

In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Risk to the business. The mechanical solution is to build a data warehouse. For example: How do we want our data to be structured?

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Sisense

MAY 28, 2020

Product teams are already having to manage the growing complexities that come with modern data environments. Chandana Gopal, Business Analytics Research Director, IDC. What’s concerning is that, despite recognizing this, just 1% of data center engineers believe their data centers are updated ahead of current needs.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

IBM Big Data Hub

OCTOBER 27, 2022

Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address. Helping clients close the business analytics skills gap. The company’s up-to-date expertise with IBM Cognos Analytics and their close relationship with IBM are key factors.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Data scientists also rely on data analytics to understand datasets and develop algorithms and machine learning models that benefit research or improve business performance.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

MAY 12, 2021

If you are working in an organization that is driving business innovation by unlocking value from data in multiple environments — in the private cloud or across hybrid and multiple public clouds — we encourage you to consider entering this category. SECURITY AND GOVERNANCE LEADERSHIP. INDUSTRY TRANSFORMATION.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Jet Global

OCTOBER 1, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Cloudera

APRIL 12, 2021

“We have a multi-tiered governance to ensure we’re investing the dollars in appropriate technologies and making sure we’re getting the best value. How can we provide a core platform that’s much more effective and efficient…rather than one mission operations center for each flight when they’re all running on the same core technology?”.

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. The era of big data has arrived.

Modeling 52

Modeling OLAP Reporting Sales 52

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Peter James Thomas

MAY 3, 2019

This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. When I first started focussing on the data arena, Data Warehouses were state of the art.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 105

Data Warehouse Snapshot Testing Management 105

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 719, trailing "data warehouse."

IoT 25

IoT Big Data Data Warehouse Uncertainty 25

Occam's Razor

MARCH 10, 2015

Universal Analytics is seeped in technical ese. If you are a regular reader of this blog, : ), then you are more than likely fall in the business side of the house rather than the technology side of the house. A lot of Universal Analytics is technical – see the over-ripe banana above. They are: 1.

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. All of which leads to a modified Big Data / Data Lake architecture, embodying people and processes as well as technology and looking something like the exhibit above. See: Financial Sector Technology Award. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. 2) Designing Data-Intensive Applications by Martin Kleppman. Not only is it comprehensive and thorough, but also comprehensible.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 14, 2022

In this ever-changing landscape, you need technology that can keep up. The right tools transform your financial data into useful reports, strategic spending, and actionable insights, but to keep up, you’ll need to build the right tech stack for your needs. Live demo tailored to your business requirements. Human resources (HR).

Technology 52

Technology Operational Reporting Reporting Software 52

Jet Global

SEPTEMBER 19, 2023

Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Jet Global

MAY 6, 2022

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Gone are the days of relying on your overtaxed IT department for the reports that fuel your business. Jet acts as the perfect conduit between your ERP data and Power BI. Low total cost of ownership.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52

Jet Global

JUNE 9, 2022

Seamless Integration with Cloud Data Warehouse Targets. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination.

Operational Reporting 52

Operational Reporting Reporting Data Warehouse Cost-Benefit 52

Jet Global

OCTOBER 12, 2022

Tax Technology Pays for Itself. By adding tax planning and transfer pricing management software to your overall technology vision, you can achieve greater ROI, accelerate your time to value, and extend the benefits of your ERP project to a wider stakeholder group within your organization. First, let’s define “tax technology.”

Cost-Benefit 52

Cost-Benefit Reporting Testing Software 52

Jet Global

DECEMBER 7, 2021

As business analytics tools become more powerful and affordable than ever before, more and more business leaders are building upon their existing technology toolsets to add true business intelligence (BI) to their organization’s capabilities.

Business Intelligence 52

Business Intelligence Slice and Dice Recreation/Entertainment Reporting 52