What Is Enterprise Performance Management?


A new calendar year can be a great time to take a renewed, fresh look at your business planning and performance management. Let’s go back to the basics for a few minutes: From the definition of Enterprise Performance management through its business value.

Integrated Business Planning – Provides continuous visibility and drives consensus


Case study: Integrated Business Planning – Provides continuous visibility and drives consensus. Business Context. It was able to support multiple upstream and downstream business processes and give a lot more control to the client to tune their business drivers for topline gain.


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How Machine Learning is Changing the Oil and Gas Industry


Tying Machine Learning to Business Drivers. Increasingly, technology implementations need to be tied to a key business driver in order to be successful. Implementing machine learning in the oil and gas industry, therefore, is about showing the efficiencies and benefits that the technology can bring to the overall business.

4 Takeaways from Enterprise Data World


It was a busy show with a lot of enthusiastic sessions and attendees, and some great takeaways. Overall, some important observations that were made about the state of the industry based on the sessions included: 1) Technology decisions need to fall back on a business driver. This is so important that companies should not even consider an initiative that does not tie to a business driver.

Types of Data Models: Conceptual, Logical & Physical


Conceptual Data Models: High-level, static business structures and concepts. Typically, business stakeholders and data architects will create such a model to convey what a system contains. Choosing Between Types of Data Models for Business Stakeholders: Focus on What’s Important.

The Value of Data Governance and How to Quantify It


As Mr. Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative.

Alation State of Data Culture Report: The Conflict Between Growth and Governance


Generating revenue ranks as the top business driver of data and analytics initiatives. That’s shown by the nearly two-thirds (63%) of data professionals who say enabling business growth takes precedence over protecting the business when it comes to their data strategy.

Alation State of Data Culture Report: Bad Data Spells Trouble for AI


This latest report went beyond assessing organizations on the state of their data culture and key business drivers for data and analytics, and included an in-depth look at how organizations are deploying AI and the challenges inhibiting optimal results from those initiatives.

The Case for Continuous Financial Planning after Covid-19

Insight Software

Financial planning has always been vital to businesses in order to make sound, long-term decisions. The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet.

Data integration: The key to AI-supported planning systems


Starting points are concrete applications for optimizing existing core processes, such as increasing the speed and quality of forecasts and predictions, improving the integration of planning or identifying important business drivers in performance management.

Upgrading Your TM1 Software to Planning Analytics

Perficient Data & Analytics

And with a little bit of planning, you can make a smooth transition that optimizes the new features to meet your organization’s business goals. Understanding how to make the best use of the new tools and use them for your specific business cases can be a defining factor for the upgrade. Flexible, comprehensive modeling of business structures, rules, and relationships. Deep, fast analysis of multi dimensionally rich data to uncover insights into business drivers.

A Probabilistic, Machine Learning Approach to Data Unification


As we have seen from many of our customers and across multiple industries , technology decisions are no longer just IT projects–they need to tie to an underlying business driver in order to be successful. The team is now looking into expanding this model into other important areas of the business within the next 6 to 12 months.

Using Technology to Add Value in Insurance

Decision Management Solutions

And that while some of these will require an investment in technology, that investment should be framed in terms of those business drivers. This resonated with me as we have been doing a lot of work recently developing digital decisioning solutions using our DecisionsFirst approach for insurance carriers and have seen all three drivers in play. But they remain ruthlessly focused on business value.

How to Create a Successful Real-time Dashboard

Juice Analytics

Business drivers Your dashboard should express a well-understood structure of the business. By the time you design a real-time dashboard, you should have an understanding for how the pieces of the business fit together (i.e. [link].

3 Essential Cybersecurity Strategies for 2020

Sirius Computer Solutions

As you develop your IAM strategy, be sure to involve key stakeholders to enable successful identification of business drivers, desired outcomes and success criteria.

The Digital Transformation of your Planning Process


Digitalization is tactical – automating activities, for example, while Digital Transformation is strategic – focusing on improving overall business processes and increasing business value. Digitalization brings technological improvement but not a huge business value. Planning processes require collaboration, business logic policy and data integration. Digitalization usually allow to collaborate on a specific business function. Business (planning) logic.

Using Data to Adapt Your Workforce


Other businesses have had to furlough staff, with some even cooperating with other organizations to find their staff other work, helping ease the transition to their workers’ next steps. What is the business plan going forward? Lots of businesses are in hiring freezes right now.

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

In choosing the appropriate method, a key distinction lies in the business stakes associated with a given forecast publication cycle. Using multiple forecasts forces a conversation about the drivers, a revisitation of the input assumptions.

A Framework for the New FP&A Department


The priorities of Finance are changing due to business demands and the opportunities provided by new technology. Our time and energy will shift from compliance and control to planning, analysis, and business partnering—deploying resources rather than just counting coins. We need a framework to be specific about what it is we want the department to do differently in the future to support the CFO and our business partners.

The year of the data catalog


Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. This was an eventful year in the world of data and analytics. Be it the surprising $5.2

Score the Best Data Protection Solution for Your Organization

Sirius Computer Solutions

Every year companies invest resources on data collection, and employees spend countless hours mulling over that data to make informed business decisions like how to market to their target audience or where to expand the business. If you want effective protection, it is imperative that you align your data protection strategy with your unique use cases and business goals.

Deliver AI-Powered Analytics Apps on Cloud-Native Sisense


And while cloud-native architecture is paramount to drive the future of analytics apps, AI is also a critical component in order to reduce manual, repetitive steps during data prep and give business users the ability to gain new insights from which they can take action. Currently, data-driven decision making is based on the business users’ ability to successfully filter, slice, and dice known KPIs they want to track and improve upon. Introducing Sisense Release Q3 2019.

In-depth with CDO Christopher Bannocks

Peter James Thomas

I’m very glad that he has been able to find time in his busy calendar to speak to us. My role encompasses being the business driver for the data platform that we are rolling out across the organisation and its success in terms of the data going onto the platform and the curation of that data in a governed state, depending on the consumer requirements. Finally, I have worked for businesses with a presence in the Netherlands on a number of occasions.

Meet Perficient’s Chief Strategists: Bill Busch

Perficient Data & Analytics

For businesses to get the most out of their data, they must deploy a strategy that transforms their data management and analytics practices. Bill Busch: Since joining Perficient six years ago, I have acted as an evangelist for big data, machine analytics, resource management, and the business development of those functions. To get there, business leaders must transform data collection platforms in a way that addresses the typical mistakes or challenges experienced.