Customer Centricity is data enabled

Nutanix

For the first time, all areas of the telecoms business can coalesce around examining business issues and customer insights

Customer Centricity is data enabled

Nutanix

For the first time, all areas of the telecoms business can coalesce around examining business issues and customer insights

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Customer Centricity is data enabled

Nutanix

For the first time, all areas of the telecoms business can coalesce around examining business issues and customer insights

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy. However, few organizations truly understand their data or know how to consistently maximize its value. The solution is data intelligence.

Troubleshooting Issues and Getting Help With Dataiku

Dataiku

Dataiku revolutionizes how companies work with their data, enabling any user — from beginners with no programming knowledge to experienced data scientists with advanced knowledge and complex data flows — to make their work more transparent and efficient.

Using DataOps to Drive Agility & Business Value

DataKitchen

Learn about DataOps from data leaders Jim Tyo, Invesco CDO; Kurt Zimmer, AstraZeneca Head of Engineering for Data Enablement & Ryan Chapin, former GE exec.

Improve financial decision making with technology

Phocas

But this process is not only time-consuming but also provides one-dimensional data that may not be as relevant in a few days. D ecision makers need technology to deliver up-to-date data enabling them to make complex financial decisions at the right time.

Understanding Data Migration Strategy and Best Practices

DataFloq

Data enables them to make informed and valuable decisions. Insights, patterns, and outcomes - all require the best quality of data. You can’t just copy and paste data - it’s much more complicated. We hope that your data migration team.

Trends: How big data is Changing P2P Lending?

DataFloq

For the process to work, P2P platforms naturally need to process a lot of data, and this is where big data holds considerable potential for P2P lending. With this in mind, here are four main ways big data is already impacting P2P lending.

How Big Data Can Help With Crop Yield

DataFloq

One way to achieve innovative solutions is through the collection and evaluation of big data. By harvesting the information collected by big data and parsing it into a functional, valuable format for examination, we can establish the groundwork for predicting future trends to benefit crop yield. With processed data, specific variables can be set to generate statistical models and research solutions for more complex inquiries through comprehensive, user-friendly results.

The Future of Content Marketing Infused With Big Data Analysis

DataFloq

quintillion bytes of data, and 90% of the existing data has been produced over the last two years alone. Big Data is the sheer enormity of information that users generate every second of every day, both online and offline. Big Data can be any type of data, including but not limited to: Sensor data. An effective Big Data system is able to collect, analyze, and manage these data for insights that lead to better decisions and strategic business moves.

How Future-Minded Leaders Harness Cloud Technologies to Create a Sustainable Future

CIO

Having a single, centralized source of data enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. By focusing on transforming the entire organization, FCS is now able to proactively make decisions based on real-time actionable data.

How the Future of Work will Improve the Employee Experience

DataFloq

We will move toward bionic organizations where data enable humans and machines to collaborate seamlessly. The future of work revolves around data, decentralization, and automation , changing what we do. Data Enables Employee Empowerment.

Tableau explains your data with new natural-language tool

CIO

Self-service analytics tools have long empowered users to produce data visualizations without the need for IT intervention. Recent advances, such as data prep automation, have further lowered the barrier of entry, but this push to democratize analytics surely has its limits. After all, users still have to interpret the data visualizations they produce. Beware the 12 myths of data analytics and the sure-fire ways organizations fail at data analytics. |

Analytics is changing. How are you keeping pace?

CIO

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

How Big Data Plays A Vital Role In Business Lead Generation

DataFloq

We can never underestimate the value of data to the success of any business. But, perhaps one of the most important uses of data lies in lead generation. Big data coming from multiple databases worldwide, the cloud , search engines, social media platforms, etc.,

DataOps For Business Analytics Teams

DataKitchen

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. IT-created infrastructure such as a data lake/warehouse).

Overcoming the silver bullet syndrome: How to turn data dreams into reality

CIO

Data is an example of a technology area subjected to this trend. A recent article on a food service company led with the headline, “Company X isn’t in the food business—they are in the data business.” Without this two-way value exchange, there is no business or data.

Accelerating Drug Discovery and Development with DataOps

DataKitchen

If a company can use data to identify compounds more quickly and accelerate the development process, it can monetize its drug pipeline more effectively. How can they handle schema drift or data verification? How do they track an error through a complex data lineage ?

A New Platform Clears the Path for the Coming Industrial Revolution

CIO

Localization data enables agile planning of production and logistical processes for better delivery quality and reliability.”

How The CIO Can Become The CMO’s Best Ally In The Use Of Data

CIO

Key to the success between CMO and CIO is how both roles can collaborate around data. Related reading: How the CMO can leverage the data of retail networks to deliver better outcomes for their organisations. They need to assure the board that the risk from data is minimised.

The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!)

How To Improve Your Hiring With Data-Driven Recruitment

DataFloq

Hiring managers leverage unbiased data analytics to make informed decisions from a pool of candidates. A robust tool for recruitment analytics transforms scattered data points into statistics useful for recruiters across hiring levels. What is recruitment data analytics?

Eight Top DataOps Trends for 2022

DataKitchen

Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Data Gets Meshier.

How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Data Intelligence in the Next Normal; Why, Who and When?

erwin

When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. WHEN do you need to gather intelligence about your data?

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It often takes months to progress from a data lake to the final delivery of insights.

Digital Twins Are a Foundational Layer of the Metaverse

DataFloq

Digital twins are a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning , and reasoning to help decision-making.” – IBM. The Metaverse is all about Data.

Why Company Data Strategies Are Indelibly Linked with DEI

Cloudera

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Building diverse, resilient organizations relies on data strategy.

The CDO: Chief Disappearing Officer

CIO

The “D” usually stands for Digital or Data. The CDO gets to hold a mirror up to the organization, humbly challenging assumptions, questioning subjective beliefs through objective data, and pointing out those uncomfortable truths that others attempt to justify away.

Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Meeting business goals with data insights. In doing so, they are putting their data to work to better meet their business objectives.

Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for. Metadata communicates the meaning of data. Metadata facilitates the use of data. protects data.

Data Governance Best Practices – Where to Start

DataFloq

Long recognized as a must in the data-driven world, data governance has never been easy for big and tiny organizations alike. Today, the complexities associated with adopting data governance best practices are greater than ever. What is data governance?

Why erwin Data Intelligence 12 led me to Quest

erwin

Last week, Quest released erwin Data Intelligence by Quest version 12.0, a pivotal release for erwin Data Intelligence customers. First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Figure 1: erwin Data Intelligence 12.0

Improving Consumer Experience Through Big Data

DataFloq

Big data and conversion rates. With the help of big data analytics , you will be able to know where to advertise, how to do it, down to when the advertisement should go up. This is what big data can do. In a few more months, you can expect big data to receive an upgrade.

KGF22: Knowledge Graphs and The Not So Quiet Cognitive Revolution

Ontotext

Yet, knowledge graph projects are hard to manage not only because graph databases still aren’t the first thing enterprises consider when seeking a solution to their data problem, but also because the understanding about what a knowledge graph can and cannot do is still unclear.

Variety is the Secret Sauce for Big Discoveries in Big Data

Rocket-Powered Data Science

I realized that in my one simple thought, I had made three different inferences from a single stream of data. The data stream was the audible sound of the aircraft. For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. That is a single symptom (headache pain) — a single data source, a single signal, a single sensor.

Accelerating Your Data Culture Journey: Customer Best Practices in Data Governance

Alation

Data Governance – The Pillar No One Wants to Talk About. This blog builds on a previous blog that explored our customers’ best practices in building the data culture pillars of Search & Discovery and Data Literacy. It sounds like data needs to be under lock and key.

Combating Fraud in Insurance with Data

Cloudera

Use the Data Available. This requires a lot of data, a variety of data, and advanced analytic capabilities. Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

How the Enterprise Metaverse Will Change Collaboration

DataFloq

For lack of a better word, I opt to use this term to indicate the difference between the metaverse used by consumers for fun, play, shopping and entertainment versus the metaverse used by organisations to enable work and collaboration across time and space.

Metadata Moves: Knowledge Graph Technology for Logistics

Ontotext

From container tracking through loading onto a ship and further traveling through borders and arriving at a warehouse point, the set of events and the data they are logged by across the ecosystem of logistics processes, is large and heterogeneous.

Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.