This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In this use case, Gupshup is heavily relying on Amazon Redshift as their data warehouse to process billions of streaming events every month, performing intricate data-pipeline-like operations on such data and incrementally maintaining a hierarchy of aggregations on top of raw data.
The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables. A new event notification callback from the HMS will inform the catalog service of any metadata changes in order to automatically update the state.
Finance teams are increasingly being asked for timely, recurring operationalreports to support day-to-day decision making. The most common challenges your finance team probably faces are: lengthy report creation time, existing tool complexity, and the inability to drill into transactional data. Download Now.
When extracting your financial and operationalreporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. It provides consistency in data for reporting purposes, as you are working with snapshots of the data at a particular point in time.
Interestingly, however, many project-based businesses like yours are not even close to achieving this level of reporting. A recent report by insightsoftware and Hanover Research highlights this issue, stating that 98% of operationalreporting professionals distribute reports as a static PDF. Privacy Policy.
Too slow: Building custom reports takes time. Out-of-the-box reporting rarely covers specific organizational needs when it comes to operationalreporting. Once you are in the cloud, you can: Format income statements, balance sheets, and other reports exactly how you want them. Privacy Policy.
That might be a sales performance dashboard for your Chief Revenue Officer, a snapshot of “days sales outstanding” (DSO) for the A/R collections team, or an item sales trend analysis for product management. I agree to receive digital communications from insightsoftware containing, news, product information, promotions, or event invitations.
Every time you do an export from your ERP system, you’re taking a snapshot of the data that only reflects a single moment in time. Any activity that occurs from that point forward is not reflected in the report. Worse yet, information may be lost altogether in the event that a laptop is stolen or a hard drive fails.
This might include a recap of the company’s strategic priorities, a summary of major events that have occurred over the past year, and a brief overview of market dynamics for your industry. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP.
This might include a recap of the company’s strategic priorities, a summary of major events that have occurred over the past year, and a brief overview of market dynamics for your industry. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP.
If you’re still reporting manually, it’s easy to run into disadvantages like these: Error-Prone Spreadsheets: Manual data entry and complex spreadsheet formulas increase the risk of human error, leading to inaccurate reporting and unreliable financial data. This lack of trust in the data can hinder strategic decision-making.
Perhaps just as importantly, they lead to a time delay between the moment something happens in the business and the time it shows up on a report. All of that in-between work–the export, the consolidation, and the cleanup–means that analysts are stuck using a snapshot of the data. Manual Processes Are Prone to Errors. Privacy Policy.
That undermines confidence in the finance team’s ability to produce accurate reports, and it can ultimately lead to bad business decisions. There is yet another problem with manual processes: the resulting reports only reflect a snapshot in time. I'd like to see a demo of insightsoftware solutions.
The source data in this scenario represents a snapshot of the information in your ERP system. I agree to receive digital communications from insightsoftware containing, news, product information, promotions, or event invitations. It’s not updated when someone records new transactions, and you can’t drill down to the details.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content