ElegantJ BI

JULY 5, 2015

To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period. Just providing data source access ( will you ? ) There is lot of noise about Visualization of data in BI space these days.

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

ElegantJ BI

JULY 5, 2015

To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period. Just providing data source access ( will you ? ) There is lot of noise about Visualization of data in BI space these days.

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

ElegantJ BI

JULY 5, 2015

So, one gets enthusiastic about it, becomes internal advocate for visualization in the organisation and the whole process of exploring visualization for business benefits starts… But before you get to the next level, some pointers here… Starting Point is the Data Influx. Just providing data source access ( will you ? )

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

Sisense

APRIL 17, 2020

Define your desired outcome — before you start building. Every company knows they need to digitally transform in order to survive and excel in the modern era. So being outcome-focused is a way that can you stack-rank the data sets that are most important. Experiment to guide a winning data strategy.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Leading Agile

JUNE 5, 2018

Right…you had some homework to do. Have you set up free accounts with these online services? I don’t have to tell you that we spend most of our time working with existing code bases, and we don’t often get to start with a clean slate. Welcome back! Where Were We? A free account on Github.

Agile 57

Agile 57

Dataversity

APRIL 15, 2022

We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The post Do You Need a Semantic Layer? The term was actually over 20 years old […]. appeared first on DATAVERSITY.

Data Management 130

Data Management Data Architecture Data Security Data Governance 130

Marutitech

OCTOBER 8, 2021

You can use sentiment analysis to identify customer sentiment in comments, reviews, tweets, or social media platforms where people mention your brand. . Analyzing customer feedback and reviews automatically through survey responses or social media discussions allows you to learn what makes your customer happy or disappointed.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Sisense

JULY 21, 2021

The evolution of equipping workers with data has been rocky: Workers are interacting with more software applications every year, but the ease with which they can access the data they need to make smarter decisions has not kept pace. Read on to explore how this infusion will transform the way you and your colleagues work. >>>Download

Visualization 97

Visualization User Experience Innovation Business Change 97

ElegantJ BI

SEPTEMBER 7, 2016

They do not empower users, they merely render prescribed dashboard designs and reports. Business users need access to ad-hoc analysis with a 360 degree data view, and the flexibility to interact with data from varied perspectives. But, these tools are designed for developers and technical users – NOT for business users.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

They do not empower users, they merely render prescribed dashboard designs and reports. Business users need access to ad-hoc analysis with a 360 degree data view, and the flexibility to interact with data from varied perspectives. But, these tools are designed for developers and technical users – NOT for business users.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

This article series is entitled ‘Debunking Common Business Intelligence Myths’ The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users. Debunking Common Business Intelligence Myths.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

Sisense

NOVEMBER 26, 2019

Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs? Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs? Monetizing data 3.

Digital Transformation 93

Digital Transformation Digital IBM Maintenance IBM Support 93

Tableau

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Visualization 77

Visualization Monitoring Data Quality Data Discovery 77

Sisense

SEPTEMBER 23, 2019

The API layer of any application is one of the most crucial software components. Mike Cohn’s famous Test Pyramid places API tests at the service level (integration), which suggests that around 20% or more of all of our tests should focus on APIs (the exact percentage is less important and varies based on our needs).

Documentation 89

Documentation Planning Data Modelling 89

ElegantJ BI

JANUARY 8, 2016

Myth #1: All ‘Self-Serve’ BI Tools Are Suitable for Business Users So-called ‘self-serve’ desktop-based BI tools do not deliver the intended benefits of true self-serve BI nor do they empower business users. With ElegantJ BI, you can make your developers AND business users happy!

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

JANUARY 8, 2016

So-called ‘self-serve’ desktop-based BI tools do not deliver the intended benefits of true self-serve BI nor do they empower business users. These ‘static packaged dashboards’ do not achieve business user empowerment or the goals of a self-serve BI initiative. Myth #3: Business Users Do Not Need Ad Hoc Data Analysis.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Domo

OCTOBER 11, 2021

Boris: “There are a few things they could be doing, but I’d start with boosting investments in clean, trusted, integrated data and a rich semantic layer as core foundational components of augmented BI. And decision-makers at these businesses need data and analytics now—not tomorrow, when it’ll be too late.

Government 52

Government Agile Data Visualization Visualization 52

ElegantJ BI

SEPTEMBER 6, 2015

There is no way that a dashboard developer or power business analyst can anticipate the needs of every user and design a finite set of dashboards to satisfy every purpose and function. Nor can these developers satisfy the needs of every business user in the present or future.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

There is no way that a dashboard developer or power business analyst can anticipate the needs of every user and design a finite set of dashboards to satisfy every purpose and function. Nor can these developers satisfy the needs of every business user in the present or future.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

There is no way that a dashboard developer or power business analyst can anticipate the needs of every user and design a finite set of dashboards to satisfy every purpose and function. Nor can these developers satisfy the needs of every business user in the present or future.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? In some cases, the answer is ‘no’ But, that shouldn’t stop you from looking at self-serve BI tools. Most of the time business users are granted access rights at the dashboard object level.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? In some cases, the answer is ‘no’ But, that shouldn’t stop you from looking at self-serve BI tools. Most of the time business users are granted access rights at the dashboard object level.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? In some cases, the answer is ‘no’ But, that shouldn’t stop you from looking at self-serve BI tools. Most of the time business users are granted access rights at the dashboard object level.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

Insight Software

SEPTEMBER 22, 2023

The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks. Jet’s drag and drop interface significantly reduces the technical expertise needed to build or amend projects, because the software automatically generates the SQL script.

Data Visualization 52

Data Visualization Visualization IBM Maintenance IBM Support 52