Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service

Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service

Article

Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service

Many financial institutions have struggled to efficiently and consistently use AI technologies for strategic and operational purposes. To meet this need, the Aunalytics® Innovation Lab was established to provide deep insights to midsize financial services organizations lacking large AI budgets. This combination of powerful analytics and intelligence services with an experienced data science team allows organizations to gain access to an affordable alternative to HyperCloud-based AI solutions.

Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
Fill out the form below to receive a link to the article.

Featured Image - Cyber Insurance Continues to Skyrocket

Cyber Insurance Continues to Skyrocket—Do You Have a Security Strategy in Place?

Article

Cyber Insurance Continues to Skyrocket—Do You Have a Documentable Security Strategy in Place to Show You’re Prepared?

Cyber risk is a growing critical concern for organizations of all sizes and public entities globally, as we continue to rely on information technology and digital devices. But in the wake of steadily rising digital threats, cyber insurance is getting increasingly expensive—and difficult—for companies to procure.

Cyber Insurance Continues to Skyrocket
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started

How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

Article

How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

Financial institutions understand that customer growth is critical for success—both acquiring new customers and, just as importantly, reengaging existing customers. Strengthening customer engagement extends their lifetime value, lowers customer acquisition costs for new business, leads to better business outcomes, and expands revenue growth. Using the data that you already have in-house, coupled with data analytics and predictive modeling, will drive smarter marketing campaigns that increase customer engagement.

How to Increase Customer Engagement_ Leveraging First Party Data with Data Analytics
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started

Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments

Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?

Article

Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?

Investing in digital transformation technologies can be a waste of money if your company forgets one important point. That point is, no matter how cutting edge the tech or tool may be, people are needed with specific technical expertise in order to derive true business value from these investments.

Unlike large enterprises, mid-market companies often try to find this expertise in their IT manager, hoping a jack-of-all-trades approach will take care of it. This is an unfortunate mistake, since it would require the IT manager to have unusual command over a long laundry list of duties, from data integration, ingestion, and preparation to data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on-premises environments. This is not just a tall order for a mid-market IT manager to pull off, but likely an impossible one.

Overwhelmed IT worker at a computer late in the evening
To read more, please fill out the form below:

How to Win Wallet Share While Cutting Costs in Financial Institution Operations

How to Win Wallet Share While Cutting Costs in Financial Institution Operations

Article

How to Win Wallet Share While Cutting Costs in Financial Institution Operations

In a recession economy, it is imperative to cut costs and employ efficient strategies to grow operating income. Here’s what banking institutions can do to make marketing and sales teams more efficient, and achieve better returns.

How to Win Wallet Share While Cutting Costs in Financial Institution Operations
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started

Bridging the Mid-Market Talent Gap for Digital Transformation

Article

Bridging the Mid-Market Talent Gap for Digital Transformation

To achieve business value from data technology investments, mid-market companies need the right technical expertise and talent. Yet many mid-market firms push this onto their IT manager, assuming that since it is technology related, IT has it. This is a mistake because most IT departments do not have time for data analytics. They are busy full time keeping company systems stable and secure, and providing support to your team members. This by necessity results in IT deprioritizing data queries over crucial cybersecurity attack prevention. Business analysts and executives get frustrated waiting for data query results, and the data is stale or the business opportunity has passed by the time query results are in.

IT workers

But even if your IT team had time for it, it still is a mistake to rely on traditional technology administrators for data analytics success. This is unless your IT department has expertise across a wide range of skill sets, from cloud architecture, database engineering, master data management, data quality, data profiling, and data cleansing. What’s more, your IT manager would need to have command over data integration, data ingestion, data preparation, data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on premises environments.

When you read this laundry list of needs, it becomes clear that most mid-market IT departments lack the specialized experts needed to derive business value from their data. Unlike larger enterprises that have the resources to hire skilled staff for these roles, the mid midsize organization requires another option that provides access to the right tools, resources, and support. One that integrates, enriches and is trained in utilizing AI, machine learning, and predictive analytics to achieve more useful results.

To read more, please fill out the form below:


Why You Need Fresh Insights

Why You Need Fresh Insights: Don’t Rely on Stale Data to Make Important Decisions

Article

Why You Need Fresh Insights: Don’t Rely on Stale Data to Make Important Decisions

Too many mid-sized financial services institutions rely on reporting modules from their banking cores to try and understand business performance and make strategic decisions. However, there are problems with this approach.

Why You Need Fresh Insights
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started

Top 3 Actions for CIOs to Take Now in a Recession Economy

Top 3 Actions for CIOs to Take Now in a Recession Economy

Article

Top 3 Actions for CIOs to Take Now in a Recession Economy

The current economy poses a triple threat for business: persistent high inflation; scarce expensive talent; and global supply constraints. However, there are 3 actions CIOs should take to play offense to emerge from a recession on top.

Top 3 Actions for CIOs to Take Now in a Recession Economy
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started


Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand

Article

Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand

Man working on code at desk with multiple monitorsMost mid-market companies make one mistake or another when investing in a data analytics platform, not understanding the many intricacies associated with preparing their data to get the best results. Some of the most common mistakes include:

  • Not realizing they need to build pipelines to get the data from their multiple data sources to the analytics platform
  • Tasking IT with implementing a data analytics solution, when the IT department does not have data science skillsets
  • Basing analytics on data that is riddled with errors, incomplete, or stale, which compromises quality of decision-making due to the inaccuracy and tardiness of the underlying data.
  • Relying on the reporting function of one data source and not taking into account data beyond that source for decision-making
  • Using dashboards that provide insights into the past only, and not the future – a gap that needs to be bridged to compete with larger enterprises

To read more, please fill out the form below:


How to Manage Your Data for the Best Business Outcomes

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Article

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Data management is more than just moving data to a data lake or the cloudTo make data usable, you need data management. While some think of data management simply moving your data into a cloud or a data lake, it’s much more than this. True data management should focus on making data informative by correlating and integrating data from multiple disparate sources and systems across your organization, adding third-party sources and transactional data created in daily operations.

Data management should also include:

  • Cleansing the data to reduce errors
  • Normalizing it so that aggregated information may be used for reporting, analytics, and better decision-making
  • Governance for compliance with regulated industry and data privacy laws, and to ensure authorized access
  • An audit trail of changes made to the data and which systems are using it

To read more, please fill out the form below: