Category: Aerospace

How Do Business Intelligence Dashboards Work?

For your organization to become fully data-driven, a business intelligence dashboard is a necessity. These data visualization tools make it easy to extract crucial insights from your data, even for industries with vast amounts of data such as healthcare and finance. 

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4 Healthcare Dashboard Examples

The healthcare industry is increasingly becoming dependent on timely and precise data to fulfill its operations. Health plans, hospitals, medical groups, and insurance providers need to monitor vital aspects of their organizations, be it operational performance or revenue. 

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A New Era of Cyber Security

Cybercriminals who target fund managers are becoming smarter, more aggressive and more ambitious.

Despite this, more than half of US investment managers don’t test their IT for weak spots, while a quarter do not regularly evaluate the effectiveness of their defense systems, according to a survey conducted by the US Securities Exchange Commission in May 2019

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How Tech-Savvy Asset Managers are Managing Liquidity

Monitoring liquidity is a burdensome task undertaken at most financial firms. But advances in cloud computing, machine learning and artificial intelligence are making the process increasingly real-time and precise.

The hope is that technology will transform decades’ old and siloed liquidity systems into a single, sleek, fully-automated platform with a strong arsenal of statistical analytics for liquidity monitoring and risk management.

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How To Build Low-Code Applications in a Day

Want to build your very own app without writing code? In the digital age, having on-demand applications at your fingertips is a key driver towards more integrated and streamlined business workflows.

UB Technology Innovations, in association with Microsoft invites you to join the App in a Day (AIAD) workshop where you will build applications in just one day.

The one-day workshop is to enable you to gain expertise in PowerApps, the Microsoft Business Application Platform, and Flow, the Microsoft tool to automate repetitive tasks, to boost personal and business productivity and efficiency.

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Ethical Algorithms for Green Investing

Could the technology behind Siri help funds invest more sustainably?

Under the specter of climate change, investors are putting pressure on asset managers to invest more ethically.

A recent study by McKinsey & Company puts assets that consider environmental, social and governance (ESG) factors in portfolio selection and management at $88 trillion globally. And it’s not Millennials driving the trend. Investors across all age demographics are expressing a desire to invest ethically and reflect greener values.

In the past, sustainable investing might have looked like a sizable exposure to “green bonds” or nixing investments in oil pipelines, but now, the mandate is much broader. In today’s digital world, asset managers are trying to be more tech savvy about how to invest in sustainable companies without sacrificing potential returns.

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How To Jump-Start your Firm’s Analytics Journey In Just One Day

Do you think your firm is too late to kick-start its analytics journey?

(or)

Your firm is already using BI and analytics to a limited extent, but facing delay in achieving the desired outcome due to inconsistencies in data structure and format across disparate systems?

(or)

Are you envisioning a number of charts and visuals that could potentially uncover valuable business insights, but lacking technical assistance to bring those visuals to life?

If your answer is “Yes” to any of these questions, you’re in the right place!!

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Asset Managers are Hunting for Unique Data to Get an Edge – Is it Worth It?

By 2020, it’s estimated that 4.4 terabytes of data will be generated each month for every human on earth. From cell phone calls to social media, credit card purchases to satellite images, the human race is creating data at an unprecedented rate.

In every sector of society, from space travel to healthcare, corporations are scrambling to make sense of the vast amounts of data being created, and figuring out new ways to use them for boosting their business. Financial markets are no different.

In asset management, this data goes far beyond the kinds of information traditionally used by investment managers in day-to-day operations, such as market data from exchanges, regulatory filings, and earnings reports.

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Why Asset Managers are Migrating to Cloud Data Warehousing

Cloud data warehousing is more than just a buzz word. It is the underpinning of a giant technological shift in the way all kinds of firms store, process, and analyze the ever-growing amounts of data critical to their business.

Capital markets firms have traditionally been slow to move, but outside finance, momentum is building. Here at UBTI, we have seen firsthand the surge in asset managers that want to store their data in the cloud instead of on-premise.

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3 Pre-Requisites For Data Management In Asset Management Firms

Asset managers make critical data-driven decisions on every business day, unlike other industries where such decisions are made relatively less frequently.

In the case of asset management firms, when there is a change in the rating of a security, it has greater implications on its price, which requires the attention of the asset managers. This is one such example reflecting the criticality of data in asset management firms from the day-to-day operations perspective.

In our experience, serving asset management firms, we have come across many such scenarios, including monitoring and maintenance of percentage of asset allocation in portfolios, clients’ investment preferences, benchmarking performance, tracking corporate actions, maturity of bonds, expiry of futures and options, calculation of NAVs, abnormal dynamics in the price of securities, etc. All these scenarios demand instant monitoring and notifications, and timely decisions from the asset managers.

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Top Fintech Trends for Asset Managers in 2019

Automobiles, healthcare, entertainment, personal banking… it seems every sector in the world is undergoing rapid disruption at the hands of technology. Financial services, though often slower to adapt than Silicon Valley, is no different. A growing base of Millennials investors is forcing firms to rethink everything from portfolio construction to digital customer support.

Here’s a look at the top three fintech trends to keep an eye on this year.

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Setting Up Data Integration for Asset Management Firms

Having a centralized data repository (CDR) fitted with a data quality business rules engine sets asset management firms on the path to better data management. The next step is to integrate the data between the source and target systems via the CDR. This step would result in time and money savings, reduction in user tickets and faster issue resolution (if any).

For asset management firms, the source and target systems primarily include the:

  • Third-party data feeds
  • Order management system
  • Customer relationship management (CRM) system
  • Accounting system
  • Compliance solutions
  • Reporting systems
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Your Guide to Choosing the Right Version of SQL Server

Time to read – 3 minutes

This blog post will help you determine the best version of SQL Server for your organization’s needs.

Continuous Improvement

Data management gets a little easier with the release of each version of SQL Server.

With each new version, the performance gets enhanced through the introduction of new functions that previously required complex coding. Security features and analytics capabilities generally also get a nice tune-up.

With each new version you may think, “it can’t get any better than this”, but alas, the thought only prevails until the release of the next version!

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GIPS 2020 Standards – One Size Doesn’t Fit All

The background

It’s been almost a decade since the CFA Institute unleashed the 2010 Global Investment Performance Standards (GIPS) to homogenize the way asset management firms calculate and report performance to investors. As we head into 2019, the powers that be are attempting to tie up some loose ends.

The weakness of GIPS 2010? In three words — ‘lack of scope’. The guidelines as originally written were not broad enough to cover alternative assets in the capital markets like private equity, real estate, private wealth and so on. All of this resulted in a lack of buy-in from firms who wanted to comply with the standard but whose portfolio management activities didn’t fit neatly into the categories described in the framework.

GIPS compliance has always been more of a gentlemen’s agreement than a regulatory requirement — and its success depends on voluntarily adoption. And so, the GIPS Executive Committee learned the hard way that one size doesn’t fit all.

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Data Quality Framework for Asset Management Firms

The Centralized Data Repository (CDR) setup for asset management firms acts as the foundation for the data management initiatives. This is the first step towards achieving a single source of truth and eliminating siloed operations.

The next step is to ensure the quality of the data (that will be stored and managed in the CDR) meets the desired standards. For this purpose, data profiling is critical. Data is profiled in terms of its attributes, patterns, and functional dependencies, which in turn is analysed to create the business rules engine.

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Foundation of Data Management In Asset Management Firms

Data serves as the nerve center for asset management firms. The securities pricing data, ratings, corporate actions data, NAV etc. are mission critical for asset managers to make the right investment decisions. The compliance team, on the other hand is in need of effective data management to file compliance on time, and avoid penalties.

Most asset management firms incur costs by purchasing data from third-party vendors like Bloomberg, Factset, Rimes, Fitch etc. However, they find it extremely challenging to manage this data, and often fail to leverage it, as this data is unstructured from a holistic perspective.

In the end, asset managers are forced to analyze this unstructured (or semi-structured, in some cases) data and make investment decisions with great difficulty, while the compliance team is forced to file compliance in the nick of time.

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Are Robots Taking Over Asset Management?

Don’t believe the hype. Asset managers aren’t under the control of artificial intelligence (yet). But many shops currently engaged in “data science” programs are motivated by the same fear; that every other manager out there is secretly building the next-generation of robot, capable of making faster, more accurate predictions about the market than any human.

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The Quest for Real-Time Data from Aerospace Suppliers

Aerospace firms would benefit enormously if their suppliers shared process capability data from their lines. But first, you will have to overcome a supplier’s reluctance to share data from their equipment. The key to doing so is conveying the benefits for both parties, such as an enhanced relationship and being able to identify issues as early in the process as possible, which reduces costs for all parties.

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Better Data Governance for Aerospace and Defense Firms

Aerospace and defense firms generate an overwhelming amount of data, which is stored both internally and externally. With the sheer volume of data only increasing, the procurement and supply chain function is no exception in looking toward advanced analytics and business intelligence to better leverage their mountain of data.

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Aerospace Supplier Certification

In the aerospace industry, nothing is more important than product quality and compliance to FAA regulations. To ensure all parts meet the strict specifications of OEM’s like Boeing and Airbus, not to mention the Federal Aviation Authority, quality begins early in the supply chain with a concept known as Supplier Certification.

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Aerospace Supplier Audits: Striving for Zero Defects

The late Philip Crosby argued that the performance standard that defines total quality is zero defects, which he defined as conformance to requirements. Taguchi further argues that any deviation from a target value carries with it some level of opportunity loss due to scrap, rework, and dissatisfied customers. We can operationalize the pursuit of zero defects, however defined, in several important ways. Each recognizes the importance of eliminating product and process variability.

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Aerospace Firms are Reinventing Supply Chain Management

The success of an aerospace firm is often predicated on the performance of its suppliers. After all, how can a firm thrive and grow if its suppliers are not consistently meeting their requirements?

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Eliminate the Mundane Task of Report Generation

Typically, asset management firm require to provide standard reports to ever increasing client base. It can be challenging to keep up with reporting requirements due to increasing demand, resulting in a growing backlog and longer turnaround time. Eliminate mundane task of report generation and automate it.

Asset management firms are required to provide standard reports to their (hopefully) ever-increasing client base. It can be challenging to keep up with reporting requirements due to increasing demand, resulting in a growing backlog and longer turnaround time. It’s time to eliminate mundane reporting tasks by automating them.

Did you know there’s a central repository designed specifically for asset management firms that can not only funnel all data from various resources, but also allows you to simply import data?

Did you know there’s a central repository designed specifically for asset management firms that can not only funnel all data from various resources, but also allows you to simply import data?

UBTI’s Financial Reporting and Analytics System (FRAS) provides users with role-based visibility of valuation reports, performance, and risk management data for efficient analysis of complex information.

This streamlined data empowers firms to spend more time on what matters most: managing risk, maintaining compliance, reducing expenses, and focusing on customers.

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5 Steps to Improve Supply Chain Visibility

The aerospace industry is highly regulated and faces many unique challenges. Program managers must constantly analyze data as part of their quest to optimize performance and minimize exposure to risk. To help them succeed, aerospace firms are increasingly leveraging technology to filter out the noise from the information that matters. Here are 5 steps to improve supply chain visibility.

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