ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Accomplish!

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Accomplish!

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Data Discovery.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.

Chief Data Officer 78

Chief Data Officer Government Data Discovery Data Architecture 78

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics. Data Analytics Literacy MUST Exist at All Organizational Levels. Don’t make assumptions.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.

Chief Data Officer 72

Chief Data Officer Government Data Discovery Data Architecture 72

ElegantJ BI

DECEMBER 15, 2015

In this article series, entitled ‘Debunking Common Business Intelligence Myths’ , we will debunk the market myths in the BI tools market, and help you sort through the confusion to make the right choice for your business. In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

In this article series, entitled ‘Debunking Common Business Intelligence Myths’ , we will debunk the market myths in the BI tools market, and help you sort through the confusion to make the right choice for your business. In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

In this article series, entitled ‘Debunking Common Business Intelligence Myths’ , we will debunk the market myths in the BI tools market, and help you sort through the confusion to make the right choice for your business. In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 2) Data Discovery/Visualization.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Smart Data Collective

MARCH 18, 2020

We have written extensively about the benefits of big data in marketing. Louis Columbus wrote a great article in Forbes about 10 ways big data is changing the marketing sector. The business services sector is expected to spend over $77 billion on big data in the near future. So, what is Salesforce Einstein Analytics?

Big Data 244

Big Data Artificial Intelligence Data Discovery Data Analytics 244

Insight Software

OCTOBER 24, 2022

Adding world-class analytics to your application is easier said than done. In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. The Better Approach: Embedded Analytics. The Definitive Guide to Embedded Analytics. Logi Analytics.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

The BAWorld

NOVEMBER 28, 2021

Data wrangling and exploratory analysis are part of data science and play an important role in the data analysis process as they help in properly structuring the data through data detection, data cleaning, data summarizing, etc. . What is Exploratory Data Analysis? You can explore more here.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Data Pine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics. Augmented Analytics.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Data Pine

DECEMBER 11, 2019

With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020. This means that your business’s data is available and secure regardless of a data breach or system failure. 2019 was a breakthrough year for the SaaS world in many ways. 9) A Mobile-First Mindset.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. The application thus becomes a vital information hub.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52