Smart Data Collective

SEPTEMBER 15, 2021

This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.

Real-time Data 337

Real-time Data Customer Experience Customer Experience Agile 337

Leading Agile

DECEMBER 3, 2021

Data science is fundamental to success—and leveraging it effectively with data analytics is imperative to being competitive in the market. As we covered in the first conversation in this series with Adam and Dan, the way your organization uses data is important. And if so, where do we go from there?

Data Analytics 126

Data Analytics Data Analytics Agile Government 126

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Data Visualization 363

Data Visualization Visualization Big Data Artificial Intelligence 363

Smart Data Collective

JANUARY 14, 2022

Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 Banks turn to Data Analytics as Demand for Digital Services Grows. Big Data is Changing the Future of Banking.

Banking 312

Banking Retail Digital Big Data 312

ElegantJ BI

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. When it comes to analytical quality versus analytical agility, we might see the issue in the same light.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. When it comes to analytical quality versus analytical agility, we might see the issue in the same light.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

Smart Data Collective

SEPTEMBER 22, 2021

We have frequently talked about the benefits of using big data to make the most of your online marketing efforts. However, there are also a number of ways to use data analytics technology to execute your offline marketing strategies such as print marketing effectively as well. Become More Agile.

Big Data 290

Big Data Documentation Monitoring Cybersecurity 290

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 267

Big Data IBM cost Talent Acquisition IBM Support 267

Smart Data Collective

AUGUST 9, 2019

Businesses need to lay out a centralized governance framework that defines procedures, roles, and responsibilities related to how data is transmitted throughout the organization. Can the business interpret and communicate about data? Can we tie any positive business outcomes to data?

Chief Data Officer 264

Chief Data Officer Artificial Intelligence Vision Data Analytics 264

Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. The Second Problem – Quickly Querying Data.

Big Data 266

Big Data Agile Data Analytics Data Analytics 266

Tableau

SEPTEMBER 7, 2023

It means giving employees the tools and resources they need to grow their data skills. It means nurturing a culture that embraces data-driven thinking. It means harnessing the power of data to make agile decisions, gain a competitive edge, and drive innovation.

Data Analytics 141

Data Analytics Data Analytics Innovation Visualization 141

Cprime

FEBRUARY 6, 2024

How does a product-centric model enhance organizational agility? – A product-centric model enhances organizational agility by allowing teams to respond quickly to customer feedback, adapt to changes, and deliver value incrementally, ensuring that products are continuously refined and aligned with user needs.

Agile 91

Agile Innovation Product Management Product Management 91

Smart Data Collective

JUNE 15, 2022

As the current business world has changed rapidly owing to technology and other advancements, the most agile merchants have thrived and even prospered, typically by employing data-driven tactics. Following is a detailed look at some of the benefits of taking a data-driven approach in a retail business.

Retail 279

Retail Real-time Data Customer Experience Customer Experience 279

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. The Benefits of Data Mesh.

Data Management 189

Data Management Government Data Warehouse Big Data 189

Leading Agile

MARCH 11, 2020

Agile Unplugged is your chance to explore LeadingAgile’s freshest ideas, mental models, frameworks, and solutions with the people that are actually doing the work of leading large-scale Agile Transformation, out in the field. So, I had never, I’d like heard of Agile, but like, I had no experience with Agile.

Agile 102

Agile Banking Business Architecture Project Management 102

ElegantJ BI

MARCH 5, 2019

Great Data Analytics Requires a Great Enterprise Reporting Tool! But, if the business analytics tools are not simple enough for business users, all that sophisticated analytical data will not help your team to make confident decisions or to accurately and effectively plan.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

MARCH 5, 2019

Great Data Analytics Requires a Great Enterprise Reporting Tool! But, if the business analytics tools are not simple enough for business users, all that sophisticated analytical data will not help your team to make confident decisions or to accurately and effectively plan.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

MARCH 5, 2019

Great Data Analytics Requires a Great Enterprise Reporting Tool! But, if the business analytics tools are not simple enough for business users, all that sophisticated analytical data will not help your team to make confident decisions or to accurately and effectively plan.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

Tableau

OCTOBER 14, 2021

Leading for success across three areas will empower your entire employee base to be more data-driven: . Adopt an agile approach to managing your analytics environment. Support employees in growing their analytics skills. Foster community that builds and celebrates your Data Culture.

Agile 105

Agile Digital Transformation Embedded Analytics Documentation 105

Insight Software

MAY 12, 2023

And that’s where data, analytics, and automation tools come in. These powerful tools help businesses build resilient and agile supply chains that can withstand even the most unpredictable operating environments. These challenges have spurred a wave of digital transformation initiatives across industries.

Supply Chain 52

Supply Chain Data Analytics Data Analytics Agile 52

Smart Data Collective

SEPTEMBER 26, 2019

Below, we have laid down 5 different ways that software development can leverage Big Data. With the data analytics software, development teams are able to organize, harness and use data to streamline their entire development process and even discover new opportunities. Agile Development. Improving Efficiency.

Big Data 255

Big Data Banking Cloud Computing Artificial Intelligence 255

Analysts Corner

MARCH 12, 2023

This time we have quite a few new articles and authors joining us, as well as a whole series of stories on data analytics: building your career and skills in data, including some hands-on tutorials on R and Python. One of the articles will come back to the topic of the meaning of agility. And is important at all?

Agile 130

Agile Data Analytics Data Analytics Business Analysis 130

Smart Data Collective

NOVEMBER 3, 2021

They often use AI and data analytics tools to assess website performance over time and rework the design for a better user experience. Web development companies are increasingly adopting AI and DevOps and agile development, which enable them to work around your budget and ensure rapid delivery of products.

Artificial Intelligence 344

Artificial Intelligence User Experience Innovation Visualization 344

Cprime

JULY 20, 2023

We’ve seen it with Agile, then with the cloud, and now we are riding the currents of AI-powered capabilities. Agile, digital, and AI transformation are three interconnected pillars that hold immense potential for driving innovation, growth, and success. IoT devices generate real-time data for AI applications.

Digital 75

Digital Agile Digital Transformation Cloud Computing 75

BizAcuity

SEPTEMBER 5, 2022

When compared to traditional routes like Excel or MySQL for analytics, SaaS is an alternative route. The convenience, scalability, and agility that most SaaS platforms provide cannot be duplicated by the other two. GAMWIT , a SaaS solution built by BizAcuity empowers game developers with powerful visual analytics.

Visualization 246

Visualization Data Warehouse Business Intelligence Business Intelligence 246

Analysts Corner

MAY 28, 2023

This time we’ve got a collection of articles on BA skills and processes including a discussion on different techniques a BA should have, a role of BA in Agile, tools to focus on as a newstarter. A separate interesting essay covers the importance of understanding data objects and their relationships. Enjoy reading.

Logistics 130

Logistics Predictive Analytics Enterprise Architecture Business Analysis 130

ElegantJ BI

AUGUST 6, 2020

Business intelligence is a body of intelligence gleaned from data and information within your business enterprise. It is comprised of the strategies, data and technologies and brought together for the purpose of data analytics. The Business Intelligence definition today is much different than it was five years ago!

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

Business intelligence is a body of intelligence gleaned from data and information within your business enterprise. It is comprised of the strategies, data and technologies and brought together for the purpose of data analytics. The Business Intelligence definition today is much different than it was five years ago!

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

Business intelligence is a body of intelligence gleaned from data and information within your business enterprise. It is comprised of the strategies, data and technologies and brought together for the purpose of data analytics. The Business Intelligence definition today is much different than it was five years ago!

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

The BAWorld

MARCH 5, 2025

Gain knowledge of Agile and Project Management Methodologies Data Science projects tend to follow Agile methodologies, and familiarity with the same is beneficial: Scrum and Kanban: Discover sprint planning, daily stand-ups, and backlog grooming.

Data Visualization 40

Data Visualization Retail Healthcare Stakeholder Management 40

Tableau

SEPTEMBER 7, 2023

It means giving employees the tools and resources they need to grow their data skills. It means nurturing a culture that embraces data-driven thinking. It means harnessing the power of data to make agile decisions, gain a competitive edge, and drive innovation.

Data Analytics 97

Data Analytics Data Analytics Innovation Visualization 97

ElegantJ BI

APRIL 10, 2020

Results are everything and when you think of a task like preparing data for analytics, that task does not seem to have a direct connection to results. Self-Service Data ETL should simplify the tasks of preparing data so users WANT to adopt the tools and use them for data prep and Data Analytics.

Data Analytics 130

Data Analytics Data Analytics Visualization Agile 130

BizAcuity

SEPTEMBER 16, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 174

Visualization Data Visualization Agile Business Intelligence 174

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

With self-serve data preparation tools, you can: Improve business analyst and business user productivity. Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. Reduce user dependence on analysts, ETL and SQL expertise.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

MAY 11, 2021

Data, analytics and an agile Dx workflow and environment weighs heavily on success in these instances. As we work through this example, consider your most crucial business issues, the changing market in which you compete and your need for timely, accurate data. You will find the comparisons to be thought provoking!

Digital Transformation 130

Digital Transformation Digital Supply Chain Data Analytics 130