公开(公告)号：US20250021533A1

公开(公告)日：2025-01-16

申请号：US18349837

申请日：2023-07-10

Applicant: Business Objects Software Ltd

Inventor： Paul Sheedy ,  Paul O'Connor

IPC: G06F16/21 ,  G06F16/13 ,  G06F16/14

Abstract: Embodiments describe a technique for database schema migration that minimizes queries to the runtime database. A technique is described for detecting whether design time metadata has changed during a schema migration without performing a database query for runtime metadata and comparing the design time metadata with the runtime metadata. The technique may improve performance since it aims at minimizing the number of times the database is queried for runtime metadata during the schema migration.

公开(公告)号：US20210357417A1

公开(公告)日：2021-11-18

申请号：US16876441

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Ying Wu ,  Paul O'Connor ,  Esther Rodrigo Ortiz ,  Artur Stulka ,  Mateusz Lewandowski ,  Paul Sheedy ,  Mairtin Keane ,  Paul O'Hara ,  Malte Christian Kaufmann ,  Robert McGrath

IPC: G06F16/2457 ,  G06F16/2458 ,  G06F16/215 ,  G06F16/22

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

公开(公告)号：US11321332B2

公开(公告)日：2022-05-03

申请号：US16876463

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Paul O'Hara ,  Ying Wu ,  Esther Rodrigo Ortiz ,  Paul O'Connor ,  Gabor Szabo ,  Artur Stulka

IPC: G06F16/00 ,  G06F16/2458 ,  G06F17/18 ,  G06F16/23

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically recommending one or more frequencies for time series data. One example method includes receiving a request for an insight analysis for an input time series included in a dataset. For each of multiple frequencies to analyze, the input time series is transformed into a frequency time series. An absolute percentage change impact factor and an absolute trend impact factor are determined for each frequency time series. A frequency interest score is determined based on the determined absolute percentage change factors and the determined absolute trend impact factors, for each time frequency time series. The frequency interest score is provided for at least some of the frequency time series.

公开(公告)号：US20210357401A1

公开(公告)日：2021-11-18

申请号：US16876463

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Paul O'Hara ,  Ying Wu ,  Esther Rodrigo Ortiz ,  Paul O'Connor ,  Gabor Szabo ,  Artur Stulka

IPC: G06F16/2458 ,  G06F16/23 ,  G06F17/18

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically recommending one or more frequencies for time series data. One example method includes receiving a request for an insight analysis for an input time series included in a dataset. For each of multiple frequencies to analyze, the input time series is transformed into a frequency time series. An absolute percentage change impact factor and an absolute trend impact factor are determined for each frequency time series. A frequency interest score is determined based on the determined absolute percentage change factors and the determined absolute trend impact factors, for each time frequency time series. The frequency interest score is provided for at least some of the frequency time series.

公开(公告)号：US11475021B2

公开(公告)日：2022-10-18

申请号：US16876441

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Ying Wu ,  Paul O'Connor ,  Esther Rodrigo Ortiz ,  Artur Stulka ,  Mateusz Lewandowski ,  Paul Sheedy ,  Mairtin Keane ,  Paul O'Hara ,  Malte Christian Kaufmann ,  Robert McGrath

IPC: G06F16/2457 ,  G06F16/2458

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.