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. Or even worse, one of the dashboard users would notice it first.”.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Jet Global

AUGUST 28, 2023

29, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it acquired Vizlib , a UK-based software company that builds powerful value-added products for Qlik Sense. The company has experienced tremendous growth with a five-year percentage growth rate of 425 percent.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Products should be ready-to-consume, easily accessible and responsive to the consumers’ needs.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

MAY 2, 2023

And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality.

Digital Transformation 140

Digital Transformation IT Data-driven Metrics 140

DataKitchen

JUNE 19, 2023

” – Gautama Buddha When your data team is in crisis from errors in production, complaining customers, and uncaring data providers, we all wish we could be unshaken as the Buddha. Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Was it on time?

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

datapine

AUGUST 21, 2019

Because after all – a business dashboard is worth a thousand Excel sheets. Let’s examine how you can do so with the following sales KPIs, created for a comprehensive sales report. A sales graph example generated with a dashboard builder that will prove invaluable regardless of your niche or sector.

Sales 235

Sales Dashboards KPI Visualization 235

datapine

MAY 21, 2019

“There is no doubt that today, self-service BI tools have well and truly taken root in many business areas with business analysts now in control of building their own reports and dashboards rather than waiting on IT to develop everything for them.”. Ineffective dashboards can be easily updated to focus on business needs.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

InsightOut

FEBRUARY 2, 2024

This is where InsightOut steps in, offering e-commerce companies the tools they need to clean, analyze, and report on key data metrics. Let's explore how InsightOut is leading the way and revolutionizing the way e-commerce businesses leverage data. Pristine Data Cleansing For e-commerce, data quality is non-negotiable.

Key Performance Indicator 40

Key Performance Indicator Metrics Dashboards Reporting 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 76

Analytics Cost-Benefit Finance Data Quality 76

CIO Business Intelligence

MAY 15, 2024

How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it. We provided basic dashboards like length of stay and patient utilization, and suggested they look at them every day.

Cost-Benefit 96

Cost-Benefit Data Governance Data Architecture Reporting 96

DataKitchen

MARCH 16, 2023

Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. All you had to do was to write a few bullet points every week in the text for your report for last your boss. Where is your metrics report? What should be in that report about your data team?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events.

Testing 130

Testing Statistics Measurement Metrics 130

CIO Business Intelligence

APRIL 8, 2024

The platform uses ball-tracking cameras and 3D radar systems to generate live on-court match data, which is fed into Azure and combined with live score data to reveal insights into serving patterns, returns, and player movements around the court.

Analytics 112

Analytics Broadcasting Predictive Analytics Metrics 112

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. If nothing can be changed, there is no point of analyzing data.

IT 317

IT Statistics KPI Data-driven 317

Smarten

FEBRUARY 3, 2023

Key Benefits and Deliverables: Predefined Toll Plaza Performance Management solution with ready-to-use dashboards, KPIs, reports, and analysis. Data quality improvement and data consolidation from all toll plazas for high-quality and reliable information for decision-making.

KPI 52

KPI Management Analytics Dashboards 52

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 106

Data Warehouse Testing Data Quality Reporting 106

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Dashboards and analytics have been around for a long, long time. I’ve worked with hundreds of dashboard and data visualization projects over the years.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

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

Juice Analytics

APRIL 6, 2021

If you are going to lean on data, you want to understand its quality. Here’s an overview article from Neil Patel about assessing data quality. Fortunately, we have a tool in Juicebox that fluidly integrates data visualization with the ability to explain context, priorities, and next steps.

Metrics 119

Metrics Dashboards Data-driven Data Quality 119

CIO Business Intelligence

SEPTEMBER 20, 2023

He has player-coaches who train the business case teams on data preparation and visualization tools until they become self-sufficient in creating their own end-user dashboards and algorithms. What’s the benefit of populating your data lake this way? The big benefit is senior manager acceptance of the value of the data.

Data Lake 130

Data Lake Data-driven Dashboards Risk 130

erwin

FEBRUARY 28, 2024

Not only all relevant data-related on-premises and cloud-associated Microsoft technologies are covered, but really all major technologies including AWS, Databricks, Snowflake, SAP, Informatica, Tableau, Cloudera, Oracle, and many more. Does it exist at the initial data entry/data source?

Metadata 52

Metadata Data Governance Data Quality Technology 52

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MARCH 27, 2019

We’re living in the midst of the age of information, a time when online data analysis can determine the direction and cement the success of a business or a startup that decides to dig deeper into consumer behavior insights. By managing customer data the right way, you stand to reap incredible rewards. Visualize your data.

Management 129

Management Data-driven Dashboards Visualization 129

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! 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.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 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. Data engineer salary.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

datapine

DECEMBER 17, 2019

As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. Get our summary to learn the key elements and benefits of IT reporting! What Are IT Reports? Why Do You Need An IT Report?

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

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? Let’s get started by asking the question “ What is business intelligence reporting?”.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Top 10 Big Data Tools 1. The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This powers numerous applications, insight generations, dashboards, and tools. It also enables business teams to have their data at their fingertips and have a uniform view of it.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

APRIL 6, 2022

For example, Dell Technologies Validated Designs for Splunk power AIOps by gathering real-time data, mining it for insights, and then delivering these insights to management. The process is further simplified through predefined workflows, dashboards and automatic reports that adapt to specific environments and applications.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

Jet Global

FEBRUARY 5, 2019

It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. . Top 5 Warning Signs of Bad Data. Ted Friedman.

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Octopai

OCTOBER 18, 2021

An active enterprise metadata management strategy can highlight data quality and data privacy issues, correct reports, enrich data science models and point out business opportunities and risks.

Metadata 83

Metadata Management IT Data Quality 83

Jedox

OCTOBER 22, 2020

Other challenges to data analytics include data storage, data quality, and a lack of knowledge and tools necessary to make sense of the data and generate those critical insights. Limited self-service reporting across the enterprise. Self-service reporting. Exception reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69