Jet Global

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. About insightsoftware. Ashley Yakopec.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. Access the full report here.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

Jen Stirrup

AUGUST 14, 2019

What is Data Debt? Data debt is like technical debt, only visible in bad data, poor data quality, and an underuse of data-oriented technology to help make better decisions. Blueprint for paying back data debt. Inherit technical and data debt. How can the teams move forward from the impasse?

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. So, what is BI reporting advancing in a business? Exclusive Bonus Content: Do you need to create your own BI report?

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 314

Data Quality Metadata Data Governance Publishing 314

Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. As she observed, these days, “everybody is a data generator and consumer.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. This quote might sound a little dramatic.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

AUGUST 28, 2024

With the world moving in a greener direction and finding no satisfactory software on the current market to satisfy their needs, Elia Group decided to build its own platform to collect Scope 3 upstream emissions data directly from suppliers.

Technology 119

Technology Data-driven Software Reporting 119

CIO Business Intelligence

APRIL 24, 2024

We started with an evolution of the CRM to manage the citizen relationship, and the various requests and reports: those who come into contact with the AMA must be recognized on any channel and receive consistent answers in a multichannel perspective,” he says. From there, the actual digitization project can be implemented. “We

Digital Transformation 104

Digital Transformation Business Intelligence Unstructured Data Data Lake 104

Smarten

NOVEMBER 26, 2023

Planning for Adoption of Business Intelligence 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 will make the most sense?

Business Intelligence 52

Business Intelligence Software Reporting Technology 52

Howard Dresner

JANUARY 20, 2014

Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. Another tweeted, “Through the use of location analytics organization can see new patterns in their data that graphs and charts don’t reveal.” What is your organization planning to try to achieve in 2014?

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

CIO Business Intelligence

SEPTEMBER 24, 2024

Chief data and analytics officers need to reinvent themselves in the age of AI or risk their responsibilities being assimilated by their organizations’ IT teams, according to a new Gartner report. In many cases, CDOs and CDAOs have failed to demonstrate their business value, he adds.

Data Governance 111

Data Governance Risk Management Risk Data Quality 111

CIO Business Intelligence

SEPTEMBER 11, 2024

But here’s the real rub: Most organizations’ data stewardship practices are stuck in the pre-AI era, using outdated practices, processes, and tools that can’t meet the challenge of modern use cases. Data stewardship makes AI your superpower In the AI era, data stewards are no longer just the data quality guardians.

Data Quality 116

Data Quality Unstructured Data Metadata Data Governance 116

Jen Stirrup

AUGUST 14, 2019

What is Data Debt? Data debt is like technical debt, only visible in bad data, poor data quality, and an underuse of data-oriented technology to help make better decisions. Blueprint for paying back data debt. Inherit technical and data debt. How can the teams move forward from the impasse?

Business Intelligence 40

Business Intelligence Finance IT Cost-Benefit 40

CIO Business Intelligence

SEPTEMBER 10, 2024

Nearly half of C-suite respondents report that over 30% of tech projects are late or over budget, with one in five dissatisfied with most outcomes. According to a 2023 Capgemini report , companies spend about 35% of their IT budget on testing — a figure that has remained stubbornly high despite advancements in automation.

Software 119

Software Digital Transformation Testing Advertising 119

CIO Business Intelligence

APRIL 8, 2024

These cameras are installed in each of the league’s stadiums to capture data on player and referee positioning, and the ball’s movements. With this huge amount of data per month, we’re able to offer stats and reports,” says Ana Rosa Victoria Bruno, innovation manager at LaLiga.

Analytics 116

Analytics Broadcasting Predictive Analytics Metrics 116

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. One reason the role may be misunderstood, the report says, is because it’s relatively new.

Data Strategy 130

Data Strategy Data-driven Data Quality Data Governance 130

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. But that’s not helping move the value of the organization as a business forward.” Organizations are still investing in data and analytics functions.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

datapine

AUGUST 14, 2019

Therefore, there are numerous data science tools and techniques that provide scientists with an easier, more digestible workflow and powerful results. Our Top Data Science Tools. The tools for data science benefit both scientists and analysts in their data quality management and control processes.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

JULY 11, 2024

Manufacturers are implementing generative AI initiatives slower than anticipated due to accuracy concerns, according to a report from Lucidworks. Manufacturers also must grapple with data quality concerns and whether existing data resources are sufficient for training these AI models well enough.”

Manufacturing 122

Manufacturing Cost-Benefit Data Quality Modeling 122

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 85

Strategy Data Architecture Cost-Benefit Reporting 85

Smarten

FEBRUARY 3, 2023

The Smarten team successfully implemented an Smarten Business Intelligence solution for Toll Plaza Management in less than three weeks. Key Benefits and Deliverables: Predefined Toll Plaza Performance Management solution with ready-to-use dashboards, KPIs, reports, and analysis.

KPI 52

KPI Management Analytics Dashboards 52

CIO Business Intelligence

MAY 2, 2023

According to research firm Gartner , 89% of corporate boards say digital is embedded in all business growth strategies, but only 35% of organizations are on track to achieve digital transformation goals. But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Additionally, the BI team will have trouble pinpointing the cause of errors, leading to inaccurate reports. TDWI – Dave Stodder.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

Data Integration 100

Data Integration IoT Cost-Benefit Data Quality 100

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Flat files – Other systems supply data in the form of flat files of different formats. Data ingestion Data from various sources are grouped into two major categories: real-time ingestion and batch ingestion.

Data Warehouse 116

Data Warehouse Testing Data Quality Reporting 116

CIO Business Intelligence

JUNE 21, 2024

IT leaders can take these first steps to get started: Identify the critical legacy data sources needed for each AI use case Replicate isolated legacy data sources into a unified, cloud-based data lake. Ensure a unified data governance layer for data quality, profiling, and compliance.

IT 113

IT Risk Data Lake Testing 113

CIO Business Intelligence

SEPTEMBER 1, 2023

SAP’s AI product team The entire AI unit that previously reported to Xu will now report to Sun, an SAP representative said. Sun will report directly to Philipp Herzig, SAP’s head of cross-product engineering and experience, who reports to SAP’s executive board member for product engineering, Thomas Saueressig.

IT 104

IT Forecasting Reporting Data Quality 104

Sisense

JANUARY 14, 2021

The team at Billie was willing to do whatever it took to make sure users had high-quality reports they could trust. However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. Read on to see how this enterprising team did it.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

MAY 13, 2022

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

Analytics 78

Analytics Cost-Benefit Finance Data Quality 78